Publications from Washio Laboratory Japanese

Modification Date: May 24st, 2006
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Contents


Journal Papers[Go back to contents]

Since 1996

  1. H. Motoda: Directions of Knowledge-Based Systems Research in the Era of Personalization and Globalization of Information Processing (in Japanese), Journal of Japanese Society for Artificial Intelligence, Vo.11, No.3, pp.371-375 (1996)
  2. K. Yoshida and H. Motoda: Automated User Modeling for Intelligent Interface, International Journal of Human Computer Interaction (Invited), Vol. 8, No. 3, pp.237-258 (1996)
  3. K. Yoshida and H. Motoda: Inductive Inference by Stepwise Pair Extension (in Japanese), Journal of Japanese Society for Artificial Intelligence, Vol.12, No.1, pp.58-67 (1997)
  4. T. Washio, M. Sakuma and M. Kitamura: A New Approach to Quantitative and Credible Diagnosis for Multiple Faults of Components and Sensors, Artificial Intelligence, Vol.91, No.1, pp.103-130, Special Issue: Artificial Intelligence Research in Japan, Eds. Yoshiaki Shirai, Elsevier (March, 1997) The Netherlands
  5. B. H. Kang, K. Yoshida, H. Motoda and P. Compton: Help Desk System with Intelligent Interface, Applied Artificial Intelligence: An International Journal (1997)
  6. H. Liu and H. Motoda: Feature Transformation and Subset Selection, IEEE Intelligent Systems, Vol.13, No.2, pp.26-28 (1998)
  7. T. Washio and H. Motoda: Discovery of first-principle equations based on scale-type-based and data-driven reasoning, Special Issue, KDD: Techniques & Applications, Knowledge-Based Systems, Vol.10, No.7, pp.403-411 Elsevier, Ireland, May 1998
  8. T. Washio and H. Motoda: Compositional Law Discovery Based on Scale Cognition of Feature Quantities (in Japanese), Cognitive Studies,Vol.5, No.2, pp.80-94 June, 1998
  9. H. Motoda and K. Yoshida: Machine Learning Techniques to Make Computers Easier to Use, Journal of Artificial Intelligence, Vol.103, No.1-2, pp.295-321 (1998)
  10. T. Horiuchi, A. Fujino, O. Katai and T. Sawaragi: Fuzzy Interpolation-Based Q-Learning with Continuous Inputs and Outputs (in Japanese), Transactions of the Society of Instrument and Control Engineers,Vol.39, No.2, pp.271-279 (1999)
  11. T. Horiuchi, A. Fujino, O. Katai and T. Sawaragi: Q-PSP Learning: An Exploitation-Oriented Q-Learning Algorithm and Its Applications (in Japanese), Transactions of the Society of Instrument and Control Engineers,Vol.39, No.5, pp.645-653 (1999)
  12. Y. Niwa, M. Terabe and T. Washio: Autonomous Recovery Execution in Nuclear Power Plant by the Agent, Cognition, Technology & Work, 1: pp.197-210, Springer-Verlag London Limited (1999)
  13. H. Motoda and T. Washio: Discovery of Laws, IEICE Transactions on Information and Systems, Vol.E00-A, No.1, pp.44-51 (2000)
  14. H. Motoda: Special Feature on Discovery Science, New Generation Computing, Vol.18, No.1, pp.13-16 (2000)
  15. T. Wada, T. Horiuchi, H. Motoda and T. Washio: Decision Criterion of Default Knowledge Based on Charactarization of Knowledge Acquisition in Ripple Down Rules Method, Journal of Japanese Society for Artificial Intelligence, Vol.15, No.1, pp.177-186 (2000)
  16. M. Terabe, O. Katai, T. Sawaragi, T. Washio and H. Motoda: Attribute Generation Based on Association Rules, Journal of Japanese Society for Artificial Intelligence, Vol.15, No.1, pp.187-197 (2000)
  17. T. Kayama, T. Horiuchi, H. Motoda and T. Washio: Classification Rule Learning from Tree Structured Data by Stepwise Pair Expansion, Journal of Japanese Society for Artificial Intelligence, Vol.15, No.3 (2000) (to appear)
  18. T. Washio, H. Motoda: Discovery of Scientific Law Equations based on Scale-type Constraints (in Japanese),Journal of Japanese Society for Artificial Intelligence, Vol.15, No.4, pp.681-692 (2000)
  19. Akihiro Inokuchi, Takashi Washio, Takashi Okada and Hiroshi Motoda: Applying the Apriori-based Graph Mining Method to Mutagenesis Data Analysis: Journal of Computer Aided Chemistry, Vol.2, pp.87-92 (2001)
  20. Masahiro Terabe, Takashi Washio, Hiroshi Motoda, Osamu Katai and Tetsuo Sawaragi: Attribute Generation Based on Association Rules, Knowledge and Information Systems, 4: 329-349, Springer-Verlag, London Ltd. (2002)
  21. H. Liu and H. Motoda, "On Issues of Instance Selection,'' Data Mining and Knowledge Discovery, Vol. 6, No. 2, pp.115-130 (2002)
  22. Akihiro Inokuchi, Takashi Washio and Hiroshi Motoda: Complete Mining of Freqent Patterns from Graphs: Mining Graph Data, Machine Learning, Vol.50, pp.321-354, (2003)
  23. Tetsuya Yoshida, Takuya Wada, Hiroshi Motoda and Takashi Washio: Adaptive Ripple Down Rules method based on minimum description length principle, Intelligent Data Analysis, Vol. 8 pp.239-265, IOS Press. (2004)
  24. Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Hakashima, Hiromitsu Fujikawa and Katsuyuki Yamazaki: Density-Based Spam Detector, IEICE Trans. Inf. & Syst., Vol.E87-D, No.12, pp.2678-2688 (2004)
  25. H. Liu, H. Motoda and L. Yu, "A selective sampling approach to active feature selection'', Artificial Intelligence, Vol 159/1-2, pp.49-74 (2004)
  26. Takashi Washio, Hiroshi Motoda and Yuji Niwa: Enhancing the plausibility of law equation discovery through cross check among multiple scale-type-based models, Journal of Experimental & Theoretical Artificial Intelligence, Vol.17, No. 1-2, January-June 2005, pp.129-143, Talor & Francis (2005)
  27. Katsutoshi Yada, Yukinobu Hamuro, Naoki Katoh, Takashi Washio, Issey Fusamoto, Daisuke Fujishima and Takaya Ikeda: Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI, Active Mining: Second International Workshop: Revised Selected Paper, Lecture Notes in Computer Science, Publisher: Springer-Verlag GmbH, ISSN: 0302-9743, Volume 3430, pp.152-162 (2005)
  28. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi and Katsuhiko Takabayashi: Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction, Active Mining: Second International Workshop: Revised Selected Paper, Lecture Notes in Computer Science, Publisher: Springer-Verlag GmbH, ISSN: 0302-9743, Volume 3430, pp.126-136 (2005)
  29. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Hideto Yokoi and Katsuhiko Takabayashi: Constructing a Decision Tree for Graph-Structured Data and its Applications, Journal of Fundamenta Informatiae, Special issue on Advances in Mining Graphs, Trees and Sequence, Volume 66, Number 1-2, pp.131-160 (2005)
  30. Akihiro Inokuchi, Takashi Washio and Hiroshi Motoda: A General Framework for Mining Frequent Subgraphs from Labeled Graphs, Journal of Fundamenta Informatiae, Special issue on Advances in Mining Graphs, Trees and Sequence, Volume 66, Number 1-2, pp.53-82  (2005)
  31. Fuminori Adachi, Takashi Washio, Atsushi Fujimoto and Hiroshi Motoda: Development of Generic Search Method Based on Transformation Invariance, New Generation Computing, Vol. 23, No. 4, pp.291-314 (2005)
  32. Katsuyoshi Yada, Hiroshi Motoda, and Takashi Washio: Consumer Behavior Analysis By Graph Mining Technique, New Mathematics and Natural Computation, Vol.2, pp.59-68 (2006)
  33. Fuminori Adachi, Takashi Washio, Hiroshi Motoda: Scientific Discovery of Dynamic Models Based on Scale-type Constraints, Transactions on Mathematical Modeling and its Applications (TOM) of The Information Processing Society of Japan (IPSJ), (Accepted, To Appear in 2006)
  34. Takashi Washio, Koutarou Nakanishi and Hiroshi Motoda: A Classification Method Based on Subspace Clustering and Association Rules, New Generation Computing, (Accepted, To Appear in 2006)

Before 1996

  1. H. Motoda and T. Kawai: A Theory of Control Rod Programming Optimization in Two-Region Reactors, Nucl. Sci. Eng., Vol.39, pp.114-118(1970)
  2. H. Motoda: Burnup Optimization of Continuous Scattered Refueling, Nucl. Sci. Eng., Vol.41, pp.1-13 (1970)
  3. H. Motoda: Optimal Control Rod Programming of Light Water Reactors inEquilibrium Fuel Cycle, Nucl. Sci. Eng., Vol.46, pp.88-111 (1971)
  4. H. Motoda: Optimization of Control Rod Programming and LoadingPattern in Multiregion Nuclear Reactor by the Method of ApproximationProgramming, Nucl. Sci. Eng., Vol.49, pp.515-524 (1972)
  5. Y. Nishizawa and H. Motoda: Method for Evaluating the Local Variationof the Neutron Flux, J. Nucl. Sci. Technol., Vol.9, No.7, pp.412-419(1972)
  6. M. Kitamura and H. Motoda: Burnup Optimization Using Modal ExpansionMethod, J. Nucl. Sci. Technol., Vol.9, pp.512-520 (1972)
  7. H. Motoda: Investigation of the Fuel Loading Pattern on the CoreBurnup by FLARE Simulation, J. Nucl. Sci. Technol., Vol.9, No.12,pp.751-753 (1972)
  8. Y. Nishizawa and H. Motoda: On-Line Calculation Method for Evaluating the Power Distribution in a Nuclear Reactor Core, J. Nucl. Sci. Technol.,Vol.10, No.2, pp.125-127 (1973)
  9. T. Kawai, K. Inoue, H. Motoda, T. Kobayashi and T. Kiguchi: Sensitivity Analysis of Ideal Centrifuge Cascade for Producing Slightly Enriched Uranium, Nucl. Sci. Eng., Vol.50, pp.63-72 (1973)
  10. T. Kiguchi, H. Motoda and T. Kawai: Stochastic Fluctuation in a Uranium-Enriching Cascade Using the Centrifuge Process, Nucl. Technol., Vol.17, pp.168-183 (1973)
  11. H. Motoda, J. Herczeg and A. Sesonske: Optimization of Refueling Schedule for Light Water Reactors, Nucl. Technol., Vol.25, pp.477-496(1975)
  12. H. Motoda and O. Yokomizo: Optimization of Fuel Assembly Allocation for Boiling Water Reactors, J. Nucl. Sci. Technol., Vol.13, No.5,pp.230-246 (1976)
  13. T. Kawai, H. Motoda, T. Kiguchi and M. Ozawa: A Method for Generating a Control Rod Programming for Boiling Water Reactors, Nucl. Technol.,Vol.28, pp.108-118 (1976)
  14. O. Yokomizo, H. Motoda, T. Kiguchi and R. Takeda: A Man-Machine Communication System for Boiling Water Reactor Core Management Planning, Nucl. Technol., Vol.29, pp.191-199 (1976)
  15. Y. Nishizawa, T. Kiguchi and H. Motoda: On-Line Prediction of the Power Distribution within Boiling Water Reactors, Nucl. Sci.Eng.,Vol.60, pp.189-192 (1976)
  16. Y. Niki, N. Hiranuma, M. Ozawa, H. Motoda and A. Kawahara: Operating Experience of Shimane Nuclear Power Station and Core Management Engineering System, Hitachi Review, Vol.25, pp.97-102 (1976)
  17. H. Motoda and O. Yokomizo: Method to Minimize Power Peaking in Refueling Schedule of Boiling Water Reactor, J. Nucl. Sci. Technol., Vol.14, No.2, pp.108-116 (1977)
  18. H. Motoda, S. Tanisaka, T. Kiguchi and H. Yonenaga: Feasibility Study of Core Management System by Data Communication for Boiling Water Reactors, Nucl. Technol., Vol.36, pp.294-304 (1977)
  19. T. Hayase and H. Motoda: Boiling Water Reactor Control Rod Programming Using Heuristic and Mathematical Methods, Nucl. Technol.,Vol.48, pp.91-100 (1980)
  20. Y. Bessho, H. Motoda, T. Kiguchi, T. Hayase, K. Hoshi and T. Enomoto: A New Method of Startup Planning for Boiling Water Reactors , J. Nucl. Sci. Technol. Vol.18, No.9, pp.697-704 (1981)
  21. S. Uchikawa and H. Motoda: A Method for Calculating Power Distributions in Boiling Water Reactors Using In-Core Detector Readings, Nucl. Sci. Eng., Vol.77, pp.137-145 (1981)
  22. Y. Bessho, H. Motoda and M. Watanabe: Principles for Control Rod Withdrawal Strategy during the Startup of Boiling Water Reactors, Nucl.Technol., Vol.58, pp.113-119 (1982)
  23. K. Umegaki, T. Kiguchi and H. Motoda: Simple Method to Predict Power Level and Core Flow Rate of Boiling Water Reactors by Using a One-PointCore Model, J. Nucl. Sci. Technol. Vol.19, No.7, pp.513-520 (1982)
  24. H. Motoda, T. Hayase, Y. Bessho and K. Kato: Multi-Region Neutronics Model Based on Coarse Mesh Nodal Coupling Method for Slow Transient Analyses of Boiling Water Reactors, Nucl. Sci. Eng., Vol.80, pp.648-666(1982)
  25. T. Kiguchi, K. Yoshida, H. Motoda and S. Kobayashi: Method for plant operation guidance by knowledge engineering technique (in Japanese), Journal of Atomic Energy Society of Japan, Vol.25, No.4, 298-305 (1983)
  26. H. Motoda and N. Yamada: Nuclear Power Plant Diagnosis based on the Functional Knowledge (in Japanese), Measurement and Control, Vol.22, No.9, pp.47-52 (1983)
  27. Y. Nishizawa, H. Motoda, N. Yamada and Y. Wada: Approach to Knowledge Based Man-Machine Communication for BWR Start-Up Guidance, J. Nucl. Sci.Technol., Vol.20, No.10, pp.877-879 (1983)
  28. N. Yamada and H. Motoda: A Plant Diagnosis Method Based on the Knowledge of System Description, J. Inf. Proc. Vol.7, No.3, pp.143-148(1984)
  29. M. Kitamura, T. Washio, K. Kotajima and K. Sugiyama: Development of Methods for Analyzing Time-Varying Characteristics of Power Reactor Noise, Progress in Nuclear Energy., Vol.15, pp.57-65 (1985)
  30. M. Kitamura, T. Washio, K. Kotajima and K. Sugiyama: Small-Sample Modeling Method for Nonstationary Reactor NoiseAnalysis, Ann. Nucl. Energy., Vol.12, No.8, pp.399-407 (1985)
  31. T. Washio, M. Kitamura, K. Kotajima and K. Sugiyama: Automated Derivation of Failure Symptoms for Diagnosis of a Nuclear Power Plant, Ann. Nucl. Energy., Vol.13, No.8, pp.459-465 (1986)
  32. T. Washio, M. Kitamura and K. Sugiyama: Qualitative Simulation of Power Plant Dynamics Based on Design knowledge, Control-Theory and Advanced Technology., Vol.2, No.3, pp.433-449 (1986)
  33. T. Washio, M. Kitamura and K. Sugiyama: Development of Failure Diagnosis Method Based on Transient Information of Nuclear Power Plant, J. Nucl. Sci. Technol., Vol.24, No.6, pp.452-461 (1987)
  34. M. Kitamura, M. Takahashi, T. Washio and K. Sugiyama: Synthesis of Heuristic Knowledge Base for Supporting Development of Goal-Oriented Reactor Noise Analysis Programs, Progress in Nuclear Energy., Vol.21, pp.213-221 (1988)
  35. M. Suwa and H. Motoda: Acquisition of Associative Knowledge by the Frustration-Based Learning Method in an Auxiliary-Line Problem, KnowledgeAcquisition, Vol.1, No.1, pp.113-137 (1989)
  36. M. Suwa and H. Motoda: Frustration-Based Learning in Auxiliary-Line Problems in Elementary Geometry (in Japanese), Journal of Japanese Society for Artificial Intelligence, Vol.4, No.3, pp.308-320 (1989)
  37. K. Yoshida and H. Motoda: An Approach to Hierarchical Qualitative Reasoning - Constructing Shallow Knowledge from Deep Knowledge (in Japanese), Journal of Japanese Society for Artificial Intelligence, Vol.4, No.4, pp.447-455 (1989)
  38. M. Suwa and H. Motoda: Understanding Metaphors by Frustration-Based Learning Method (in Japanese), Journal of Japanese Society for Artificial Intelligence, Vol.5, No.3, pp.291-299 (1990)
  39. T. Washio: Derivation of Exogenously-Driven Causality Based on Physical Laws (in Japanese), Journal of Japanese Society for Artificial Intelligence, Vol.5, No.4, pp.482-491 (1990)
  40. A. Kawaguchi, H. Motoda and R. Mizoguchi: Interview-Based KnowledgeAcquisition using Dynamic Analysis, Invited, IEEE Expert, Vol.6, No. 5,pp.47-60 (1991)
  41. H. Motoda and A. Kawaguchi: The Computer as a Life-Long Partner (in Japanese), Invited, Computer Science, Vol.1, No.2, pp.107-113 (1991)
  42. H. Motoda: Large Knowledge Bases for Engineering (Translation in Japanese), Invited, Computer Science, Vol.2, No.1, pp.66-75 (1992)
  43. K.Yoshida and H. Motoda: CLIP that Learns Concepts from Inference Process (in Japanese), Invited, Fall Issue of Nikkei Intelligent Systems, pp.152-159 (1992)
  44. T. Washio, Y. Kitamura and H. Takahashi: Human Reliability Analysis of Performing Tasks in Plants Based on Fuzzy Integral (in Japanese), Journal of Atomic Energy Society of Japan, Vol.33, No.10, pp.983-993 (1991)
  45. K. Yoshida and H. Motoda: Hierarchical Knowledge Representation based on Approximations (in Japanese), Journal of Japanese Society for Artificial Intelligence, Vol.7, No.1, pp.69-76 (1992)
  46. K. Yoshida and H. Motoda: Concept Learning from Inference Patterns - Learning Algorithm - (in Japanese), Journal of Japanese Society for Artificial Intelligence, Vol.7, No.5, pp.675-685 (1992)
  47. K. Yoshida and H. Motoda: Concept Learning from Inference Patterns - Concept Hierarchy Formation - (in Japanese), Journal of Japanese Society for Artificial Intelligence, Vol.7, No.5, pp.686-696 (1992)
  48. H. Motoda, R. Mizoguchi and T. Nishdia: Workshop on Knowledge Sharing and Reuse (in Japanese), Invited, Journal of Japanese Society for Artificial Intelligence, Vol.8, No.5, pp.666-671 (1993)
  49. K. Yoshida and H. Motoda: Hierarchical Knowledge Representation based on Approximations, International Journal of Expert Systems, Vol.5,No.2, pp.105-119 (1993)
  50. M. Suwa and H. Motoda: Primitive Matching - A Learning Method for Metaphorical Relations - (in Japanese), Journal of Japanese Society for Artificial Intelligence, Vol.9, No.3, pp.417-426 (1994)
  51. M. Suwa and H. Motoda: Learning Perceputually-chunked Macro-operators, Machine Intelligence, Vol.13, pp.419-440, Oxford Univ. Press (1994)
  52. M. Suwa and H. Motoda: Perceptual Chunk Learning - Visual Search Control Method - (in Japanese), Journal of Japanese Society for Artificial Intelligence, Vol.9, No.4, pp.548-558 (1994)
  53. K. Yoshida, H. Motoda and N. Indurkhya: Graph-based Induction as aUnified Learning Framework, Invited, J. of Applied Intelligence, Vol.4,pp.297-328 (1994)
  54. T. Washio and M. Kitamura: Adaptive Microphone Array Technique for Remote Monitoring of Components in Nuclear Power Plants, J. Nucl. Sci. Technol., Vol.31, No.2, pp.91-101 (1994)
  55. T. Washio, M. Sakuma and M. Kitamura: A New Approach to Quantitative and Reliable Diagnosis for Multiple Failures of Components and Sensors (in Japanese), Journal of Japanese Society for Artificial Intelligence, Vol.9, No.5 pp.719-729 (1994)
  56. M. Suwa and H. Motoda: PCLEARN: A Computer Model for Learning Perceptual Chunks, AI communication, Vol.7, No.2, pp.114-125 (1994)
  57. K. Yoshida, H. Motoda and N. Indurkhya: Towards a Common Framework for Inductive and Deductive Learning using Colored Digraphs (in Japanese), Journal of Japanese Society for Artificial Intelligence, Vol.10, No.1, pp.61-71 (1995)
  58. H. Furukawa, K. Kuchimura, T. Washio and M. Kitamura: Information Derivation for Intelligent Diagnosis of Nuclear Plants (in Japanese), Journal of Atomic Energy Society of Japan, Vol.37, No.8, pp.729-739 (1995)
  59. M. Suwa and H. Motoda: On Dealing with the Dynamic Utility of Learned Knowledge, Machine Intelligence, Vol.14, Oxford Univ. Press (1995)
  60. T. Washio, M. Sakuma, H. Furukawa and M. Kitamura: Criteria of Diversity Evaluation for Intelligent Diagnosis of Nuclear Power Plants (in Japanese), Journal of Atomic Energy Society of Japan, Vol.37, No.12, pp.1128-1136 (1995)
  61. K. Yoshida and H. Motoda: CLIP: Concept Learning from Inference Pattern, Journal of Artificial Intelligence, Vol.75, No.1, pp.63-92 (1995)
  62. K. Yoshida and H. Motoda: Automated User Modeing for Intelligent Interface, International Journal of Human Computer Interaction (Invited), Vol.8, No.3, pp.237-258 (1996)
  63. M. Suwa and H. Motoda: Operator Schemata Acquisition based on Recognition Propagation Rule (in Japanese), Cognitive Studies: Bulletin of the Japanese Cognitive Science Society, Vol.2,No.4,pp.39-55 (1995)


International Conference Papers[Go back to contents]

Since 1996

  1. T. Washio and H. Motoda: Scale-Based Reasoning on Possible Law Equations, AAAI Technical Report: Qualitative Reasoning, The Tenth International Workshop, pp.255-264 (May, 1996) Stanford Sierra Camp, Fallen Leaf Lake, California, USA
  2. M. Terabe, T. Washio, O. Katai and T. Sawaragi: A Study of Organization Learning in Multiagent Systems Proc. of ECAI'96 Workshop on Learning in Distributed Artificial Intelligence Systems: Working Notes, pp.110-119 (August, 1996) Budapest, Hangary
  3. T. Washio and H. Motoda: A History-oriented Envisioning Method, Proc. of PRICAI'96 (4th Pacific Rim International Conference on Artificial Intelligence), pp. 312-323 (August, 1996) Caurns, Australia
  4. T. Washio, H. Motoda and M. Kitamura: Decision Process Modeling Based on Consensus Among Fuzzy Integral and AHP, Proceeding of the 4th International Conference on Soft Computing, Vol.1, pp.308-311 (October, 1996) Kyushu Technical Institute,Izuka,Kyushu
  5. T. Washio, J. Okusa and A. Endou: Intelligent virtural measurements in a process plant based on model-based diagnosis, DX-96: Seventh International Workshop on Principles of Diagnosis,pp.249-257 (October, 1996) Far Hills Inn, Val Morin, Quebec, Canada
  6. T. Washio and H. Motoda: Discovery of Possible Law Equations by Combined Use of Scale-Based and Data-Driven Reasoning, Working Noe of PKAW'96: The Pacific Knowledge Acquisition Workshop, pp.130-149 (October, 1996) Coogee, Sydney, Australia
  7. B.H. Kang, K. Yoshida, H. Motoda, M. Iwayama and P. Compton: Help Desk System with Intelligent Interface, Proc. of the 1966 Pacific Rim Knowledge Acquisition Workshop, pp. 313-332 (1996)
  8. T. Washio and H. Motoda: Discovery of Possible Law Formulae Based on Measurement Scale, Proc. of the Fourth International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery, pp.209-216 (November, 1996) Sanjo Kaikan, University of Tokyo, Tokyo, Japan
  9. H. Motoda: Application of Graph-Based Induction to Automated User Modeling, Proc. of Machine Learning meets Human Computer Interaction, pp.1-4 (1996)
  10. H. Motoda: Can Machine Learn in the Same Way as Humand Do?, Proc. of First Interenational Conference on Applied Ergonomics, pp.479-484 (1996)
  11. Y. Niwa, T. Washio and M. Terabe: An Agent-Based Emergency Operating Procedure in Nuclear Power Plant, Proc. of CSEPC'96: Cognitive Systems Engineering in Process Control, pp.107-113 (November, 1996) Kyoto Kouseinenkin Resort Center, Kyoto
  12. T. Washio and M. Kitamura: Identification of Hidden Factors in Subjective Evaluation of Man-Machine Interface, Proc. of CSEPC'96: Cognitive Systems Engineering in Process Control, pp.172-175 (November, 1996) Kyoto Kouseinenkin Resort Center, Kyoto
  13. T. Washio and H. Motoda: Discovery of First Principle Based on Data-Driven Reasoning, Proc. of the First Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD97), pp.169-182 (1997)
  14. M. Takahashi, K. Fukui, T. Washio and M. Kitamura: Information Provision System for Maintenance Support Based on Augmented Reality and Network Computing, Proc. of the MARCON 97: International Conference on Maintenance and Reliability, pp.64.01-64.10 (May, 1997) Hyatt Regency Hotel ,Knoxville Tennessee, USA
  15. H. Motoda, T. Washio, T. Kayama and K. Yoshida: Extracting Behavioral Patterns from Relational History Data, Proc. of the Workshop "Machine Learning for User Modeling" to be held in conjunction with Sixth International Conference on User Modeling, (June 1997) Chia Laguna, Sardinia, Itally
  16. T. Tomiyama, T. Murakami, T. Washio, A. Kubota, H. Takeda, T. Kiriyama, Y. Umeda, and M. Yoshioka: The Modeling of Synthesis - From the Viewpoint of Design Knowledge - Proc. of International Conference on Engineering Design, ICED 97, Vol. 3, pp. 97-100 (August, 1997) Tampere, USA
  17. T. Washio and H. Motoda: Discovering Admissible Models of Complex Systems Based on Scale-Types and Identity Constraints, Proc. of IJCAI'97: Fifteenth International Joint Conference on Artificial Intelligence, Vol.2, pp.810-817 (August 1997)
  18. H. Motoda and K. Yoshida: Machine Learning Techiniques to Make Computers Easier to Use, Proc. of IJCAI'97: Fifteenth International Joint Conference on Artificial Intelligence (August, 1997) Nagoya Congress Center, Nagoya, Japan
  19. T. Washio, H. Motoda, T. Kayama and H. Matsuura: Role of KDD in Autonomous Operationof Large Scale Systems, Proc. of the International Symposium on Artificial Intelligence, Robotics and Intellectual Human Activity Support for Nuclear Applications, pp.201-210 (1997)
  20. T. Washio and H. Motoda: Structured Evaluation Based on Axiomatic Measurement, Working notes of PRESTO "Information and Human Activity" Workshop, pp.14-17 (1998)
  21. T. Washio, H. Matsuura and H. Motoda: Mining Association Rules for Estimation and Prediction, Proc. of the Second Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'98), pp.417-419 (1998)
  22. S. Hori, Y. Kawashima, T. Yukimatsu, H. Taki, T. Washio and H. Motoda: A Watchdog System for Field Quality - A Basket Analysis Approach -, Proc. of US-Japan FA Symposium, Vo.2, pp.741-748 (1998)
  23. H. Liu, H. Motoda and M. Dash: A Monotonic Measure for Optimal Feature Selection, Machine Learning: ECML-98, Lecture Notes in Artificial Intelligence 1398, pp.101-106 (1998)
  24. T. Washio and H. Motoda: Discovering Admissible Simultaneous Equations of Large Scale Systems, Proc. of the Fifteenth National Conference on Artificial Intelligence (AAAI-98) pp.189-196 (1998)
  25. Y. Niwa, M. Terabe and T. Washio: Collaborative Emergency Operation Man-Machine System, Proc. of 7th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design and Evaluation of Man-Machine Systems, pp.461-466 (1998)
  26. T. Wada, T. Horiuchi, H. Motoda and T. Washio: A New Look at Default Knowledge in Ripple Down Rules Method, Proc. of the 1998 Pacific Rim Knowledge Acquisition Workshop (PKAW'98), pp.171-186 (1998)
  27. T. Washio and H. Motoda: Development of SDS2: Smart Discovery System for Simultaneous Equation Systems, Discovery Science, Lecture Notes in Artificial Intelligence 1532 pp.352-363 (1998)
  28. K. P. Hew, T. Washio, T. Tomiyama and Y. Umeda: A Mathematical theory of Synthesis Design: Foundation, Framework, Logic and Application, Proc. of International Symposium on Modeling of Synthesis pp.19-31 (1998)
  29. H. Motoda: Computer Assisted Discovery of First Principle Equations from Numeric Data, Proc. of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'99), pp.2 (1999)
  30. T. Wada, T. Horiuchi, H. Motoda and T. Washio: Characterization of Default Knowledge in Ripple Down Rules Method, Proc. of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'99), pp.284-295 (1999)
  31. A. Inokuchi, T. Washio and H. Motoda: Basket Analysis for Graph Structured Data, Proc. of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'99), pp.420-431 (1999)
  32. M. Terabe, O. Katai, T. Sawaragi, T. Washio and H. Motoda:A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree, Proc. of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'99), pp.143-147 (1999)
  33. T. Washio and H. Motoda: Automated Scientific Modeling from Observed Data and its Application to Socio-Psychology, Workingnotes of QR'99: the Thirteenth International Workshop on Qualitative Reasoning, pp.240-249 (1999)
  34. T. Washio, H. Motoda and Y. Niwa: Discovering Admissible Model Equations from Observed Data Based on Scale-Types and Identity Constrains, Proc. of IJCAI'99: Sixteenth International Joint Conference on Artificial Intelligence, Vol.2, pp.772-779 (1999)
  35. T. Washio and H. Motoda: Extension of Dimensional Analysis for Scale-types and its Application to Discovery of Admissible Models of Complex Processes, Working Notes of 2nd International Workshop on Similarity Method, pp.129-147 (1999)
  36. A. Inokuchi, T. Washio and H. Motoda: Derivation of the Topology Structure from the Massive Graph Data, Proc. of the Second International Conference on Discovery Science (DS'99), pp.330-332, 1999
  37. T. Matsuda, T. Horiuchi, H. Motoda, T. Washio, K. Kumazawa and N. Arai: Graph-Based Induction for General Graph Structured Data, Proc. of the Second International Conference on Discovery Science (DS'99), pp.340-342, 1999
  38. M. Dash, H. Liu and H. Motoda: Feature Selection Using Consistency Measure, Proc. of the Second International Conference on Discovery Science (DS'99), pp.319-320, 1999
  39. H. Hasegawa, T. Washio and Y. Ishimiya: "Thermodynamics" from Time Series Data Analysis, Proc. of Second International Conference, Discovery Science1999 (DS'99), pp.326-327, (Lecture Notes in Artificial Intelligence 1721, Springer), 1999
  40. T. Matsuda, T. Horiuchi, H. Motoda and T. Washio: Extension of Graph-Based Induction for General Graph Structured Data, Proc. of the Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2000), 2000 (to appear)
  41. M. Dash, H. Liu, H. Motoda: Consistency Based Feature Selection, Proc. of the Fourth Pacific-Asia Conference of Knowledge Discovery and Data Mining (PAKDD2000), pp.98-109 (2000)
  42. A. Inokuchi, T. Washio, T. Okada and H. Motoda: Applying Algebraic Mining Method of Graph Substructures to Mutageniesis Data Analysis, Working notes of International Workshop of KDD Challenge on Real-world Data, KDD Challemge 2000, The Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp.41-46, 2000
  43. Takashi Washio, Hiroshi Motoda and Yuji Niwa: Enhancing the Plausibility of Law Equation Discovery, Proceedings of the Seventeenth International Conference on Machine Learning, ICML2000, pp.1127-1134 (2000)
  44. A. Inokuchi, T. Washio and H. Motoda: An Apriori-based Algorithm for Min ing Frequent Substructures from Graph Data, Proc. of PKDD2000: Principles of Data Mining and Knowledge Discovery, 4th Europian Conference, Lecture notes in Artificial Intelligence 1910, Jan Zytkow Eds., pp.13-23 (2000)
  45. Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda and Takashi Washio: Extension of Graph-Based Induction for General Graph Structured Data, Proc. Of PAKDD2000: 4th Pacific-Asia Conference, PAKDD2000: Knowledge Discovery and Data Mining, Current Issues and New Applications, pp.420-431 (2000)
  46. Takashi Washio and Hiroshi Motoda: Development of SDS2: Smart Discovery System for Simultaneous Equation Systems, Discovery Science, Lecture Notes in Artificial Intelligence, 1532, pp.352-363 (2000)
  47. Takashi Washio and Hiroshi Motoda: Modeling Admissible Simultaneous Equation Systems Based on Complete Subsets and Scale-Type Constraints, Working note of Similarity Methods: 3rd International Workshop, pp.73-84 (2000)
  48. Takashi Matsuda, Tadashi Horiuchi, Hiroshi Motoda and Takashi Washio: Graph-Based Induction for General Graph Structured Data and Its Application to Chemical Compound Data, Proc. of Discovery Science 2000 (DS2000), Lecture Notes in Artificial Intelligence 1967, Setsuo Arikawa and Shinichi Morishita (Eds.), pp.99-111 (2000)
  49. Hiroshi Hasegawa, Takashi Washio, Yukari Ishimiya and Takeshi Saito: Nonequilibrium Thermodynamics from Time Series Data Analysis, Proc. of Discovery Science 2000 (DS2000), Lecture Notes in Artificial Intelligence 1967, Setsuo Arikawa and Shinichi Morishita (Eds.), pp.304-305 (2000)
  50. Ken Ping Hew, Tetsuo Tomiyama, Takashi Washio and Yasushi Umeda: Language and Algorithm for Synthesis, Proc. of 2000 International Symposium on Modeling of Synthesis, pp.189-205 (2000)
  51. Takayuki Ikeda, Takashi Washio and Hiroshi Motoda: Basket Analysis on Meningitis Data, Working Notes of JSAI KDD Challenge 2001, JKDD01, pp.33-40 (2001)
  52. Takashi Washio and Hiroshi Motoda: Discovery of Law Equations Governing Human Affinity Under Trade-Off Between Cost and Risk, Proc. of IMPS-2001: International Meeting of the Psychometric Society, pp.74 (2001)
  53. Masahiro Terabe, Takashi Waship and Hiroshi Motoda: The Effect of Subsampling Rate on S3 Bagging Performance, Working Notes on Active Learning, Databese Sampling, Experimental Design: Views on In stance Selection, ECML/PKDD-2001 (2001)
  54. Takashi Washio, Hiroshi Motoda and Yuji Niwa: Discovering Admissible Simultaneous Equation Models from Observed Data, Proc. Of 12th European Conference on Machine Learning:ECML2001, pp.539-551 (2001)
  55. Makoto Tsukada, Takashi Washio and Hiroshi Motoda: Automatic Web-Page Classification by Using Machine Learning Methods, Web Intelligence Research and Development (Proc. Of First Asia Pacific Conf., WI2001), LNAI2198, Springer, pp.303-313 (2001)
  56. Takashi Washio and Hiroshi Motoda: A Method to Discover Admissble Model Equations from Observed Data, Working Notes of 4th Internationaln Workshop on Similarity Methods, pp.231-246 (2001)
  57. Takayuki Ikeda, Takashi Washio and Hiroshi Motoda: Basket Analysis on Meningitis Data, New Frontiers in Artificial Intelligence, Joint JSAI 2001 Workshop Post-Proceedings, LNAI 2253, pp.516-524 (2001)
  58. H. Motoda and H. Liu, "Feature Selection, Extraction and Construction'', Invited, Proc. of Foundation of Data Mining, PAKDD02, pp.67-72 (2002)
  59. Takashi Washio: Conditions of Law Equations and the Approach of their Discovery, Proc. Of International Conference on Advances in Infrastructure for Electronic Business, Education, Science and Medicine on the Internet: SSGRR 2002w, No.83 (Invited) (2002)
  60. Hiroshi H. Hasegwa, Takashi Washio and Yukari Ishimiya: Inductive Thermodynamics from Time Series Data Analysis, Progress in Discovery Science, Final Report of Japanese Discovery Science Project, State-of the Art Survey, LNAI2281, Setsuo Arikawa and Ayumi Shinohara (Eds.), Springer, pp.384-394 (2002)
  61. Takashi Washio and Hiroshi Motoda: Toward the Discovery of First Principle Based Scientific Law Equations, Progress in Discovery Science, Final Report of Japanese Discovery Science Project, State-of the Art Survey, LNAI2281, Setsuo Arikawa and Ayumi Shinohara (Eds.), Springer, pp.553-564 (2002)
  62. Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida and Takashi Washio: Preliminary Analysis of Hepatitis Data by Beam-wise Graph-Based Induction, Working Notes of Discovery Challenge Workshop Notes, Helsinki, Finland, ECML/PKDD-2002 Workshop Proceedings, Petr Berka, Eds. (2002)
  63. Akihiro Inikuchi, Takashi Washio, Yoshio Nishimura and Hiroshi Motoda: General Freamework for Mining Frequent Patterns in Structure, Proc. of Int. Workshop on Active Mining, pp.23-30 (2002)
  64. Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda and Takashi Washio: Active Mining from Hepatitis Data by Beam-wise GBI, Proc. of Int. Workshop on Active Mining, pp.37-44 (2002)
  65. Fuminori Adachi, Takashi Washio, Hiroshi Motoda and Hidemitsu Hanafusa: Development of Generic Search Method Based on Transformation Invariance, Proc. of Int. Workshop on Active Mining, pp.52-57 (2002)
  66. Tetsuya Yoshida, Takuya Wada, Hiroshi Motoda and Takashi Washio, Adaptive Ripple Down Rules Method based on Minimum Description Length Principle, Proc. of ICDM02: The 2002 IEEEE International Conference on Data Mining, pp.530-537 (2002)
  67. Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motota, and Takashi Washio: Classifier Construction by Graph-Based Induction for Graph Structured Data, Proc. of the 6th SANKEN (ISIR) International Symposium, The New Trands in Knowledge Processing - Data minig, Semantic Web and Computational Scoence -, pp.63-64 (2003)
  68. Akihiro Inokuchi, Takashi Washio and Hiroshi Motoda: General Framework for Frequent Structure Mining, Proc. Of the 6th SANKEN (ISIR) International Symposium, The New Trands in Knowledge Processing - Data minig, Semantic Web and Computational Scoence -, pp.85-86 (2003)
  69. Takashi Matsuda, Hiroshi Motoda, Tetsuya Yoshida and Takashi Washio: Mining Patterns from Structured Data by Beam-wise Graph-Based Induction, Proc. of the 6th SANKEN (ISIR) International Symposium, The New Trands in Knowledge Processing - Data minig, Semantic Web and Computational Scoence -, pp.98-99 (2003)
  70. H. Liu, L. Yu, D. Manoranjan and H. Motoda: Active Feature Selection Using Classes, Proceedings of 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining, LNAI2637, pp.474-485 (2003)
  71. Kouzou Ohara, Takehiro Ogura, and Noboru Babaguchi: On Personalizing Video Portal System with Metadata, Proc. of 7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES2003), pp.1062-1069(2003)
  72. Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda and Takashi Washio: Constructing a Decision Tree for Graph Structured Data, Proc. of First International Workshop on Mining Graphs, Trees and Sequences (MGTS-2003), In conjunction with ECML/PKDD-2003, pp.1-10 (2003)
  73. Akihiro Inokuchi, Takashi Washio and Hiroshi Motoda: Specific Biasis for Mining Frequent Substructures, Proc. of First International Workshop on Mining Graphs, Trees and Sequences (MGTS-2003), In conjunction with ECML/PKDD-2003, pp.45-54 (2003)
  74. Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda and Takashi Washio: Performance Evaluation of Decision Tree Graph-Based Induction, The 6th International Conference on Discovery Science (DS2003), pp.128-140(2003)
  75. Katsutoshi Yada, Yukinobu Hamuro, Naoki Katoh, Takashi Washio, Issey Fusamoto, Daisuke Fujishima and Takaya Ikeda: Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI, Working notes of AM2003: Second International Workshop on Active Mining, pp.52-61 (2003)
  76. Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda and Takashi Washio: Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction, Working notes of AM2003: Second International Workshop on Active Mining, pp.106-117 (2003)
  77. Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Atsushi Fujimoto, and Hidemitsu Hanafusa: Development of Generic Search Method Based on Transformation Invariance, Proc. of 14th International Symposium, ISMIS 2003, Foundations of Intelligent Systems, LNAI 2871, pp.486-496 (2003)
  78. Noboru Babaguchi, Kouzou Ohara, and Takehiro Ogura: Effect of Personalization on Retrieval and Summarization of Sports Video, Proceedings of Fourth International Conference on Information, Communications & Signal Processing/Fourth IEEE Pacific-Rim Conference On Multimedia, ICICS-PCM03, pp.15-18(2003)
  79. A. Mandvika, H. Liu and H. Motoda: Compact Dual Ensembles for Active Learning, Proc. of 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining, LNAI3056, pp.293-297 (2004)
  80. Tetsuya Yoshida, Warodom Geamsakul, Akira Mogi, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi and Katsuhiko Takabayashi: Preliminary Analysis of Interferon Therapy by Graph-Based Induction, Proceedings of the Third International Workshop on Active Mining, AM-2004, pp.31-40(2004).
  81. A. Mandvika, H. Liu and H. Motoda: Constructing Compact Dual Ensembles for Efficient Active Learning, Proc. of the Pacific Knowledge Acquisition Workshop, ISBN No. 1-877314-34-X, pp.29-43 (2004)
  82. Hiroshi Motoda, Tetsuya Yoshida, Kouzou Ohara, Warodom Geamsakul, Takashi Washio, Hideto Yokoi and Katsuhiko Takabayashi: Application of DT-GBI to Promoter and Hepatitis Datasets, Proceedings of the Knowledge Discovery in BioMedicine, KDbM-04, pp.10-40(2004)
  83. Kenichi Yosihda, Fuminori Aadachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa, Katsuyuki Yamazaki: Density-based spam detector, Proc. of KDD2004: KDD International Conference on Knowledge Discovery and Data Mining, page 486-493 (2004)
  84. Kouzou Ohara, Tetsuya Yoshida, Warodom Geamsakul, Hiroshi Motoda, Takashi Washio, Hideto Yokoi and Katsuhiko Takabayashi: Analysis of Hepatitis Dataset by Decision Tree Graph-Based Induction, Proceedings of Discovery Challenge, Workshop held in conjunction with the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), pp.173-184(2004)
  85. Phu Chien Nguyen, Takashi Washio, Kouzou Ohara and Hiroshi Motoda: Using a Hash-Based Method for Apriori-Based Graph Mining, Proc. of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD2004), LNAI3202:Knowledge Discovery in Databases, pp. 349-361 (2004)
  86. Katsutoshi Yada, Hiroshi Motoda, Takashi Washio and Asuka Miyawaki: Consumer Behavior Analysis by Graph Mining Technique, Lecture Notes in Computer Science, Publisher: Springer-Verlag Heidelberg, ISSN: 0302-9743, Volume 3214 / 2004, Knowledge-Based Intelligent Information and Engineering Systems: 8th International Conference, KES 2004, Proceedings, Part II (2004)
  87. Kouzou Ohara, Yukio Onishi, Noboru Babaguchi and Hiroshi Motoda: Constructive Inductive Learning based on Meta-Attributes, Proceedings of the 7th International Conference on Discovery Science, pp.142-154(2004)
  88. Akira Mogi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio: Analysis of Hepatitis Dataset by Using Cl-GBI, Proc. of Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining, SIG-KBS-A403, pp.43-48 (2004)
  89. Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio: Cl-GBI: A Novel Strategy to Extract Typical Patterns from Graph Data, Proc. of Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining, SIG-KBS-A403, pp.105-110 (2004)
  90. M.Kuroda, K.Yada, H.Motoda and T.Washio: Knowledge Discovery from Consumer Behavior in an Alcohol Market by Using Graph Mining Technique, Proc. of Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining, SIG-KBS-A403, pp.111-116 (2004)
  91. Takashi Washio, Atsushi Fujimoto, Hiroshi Motoda: Extention of Basket Analysis and Quantitative Association Rule Mining, Proc. of Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining, SIG-KBS-A403, pp.117-122 (2004)
  92. Fuminori Adachi, Takashi Washio and Hiroshi Motoda: Scientific Discovery of Dynamic Hidden States and Differential Law Equations, Proc. of Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining, SIG-KBS-A403, pp.175-180 (2004)
  93. Takashi Washio, Atsushi Fujimoto, Hiroshi Motoda: A Framework of Numerical Basket Analysis, Proceedings of 2005 Symposium on Applications and the Internet: Saint 2005 Workshops, pp.340-343 (2005)
  94. Kenichi Yoshida, Fuminori Adachi, Takashi Washio, Hiroshi Motoda, Teruaki Homma, Akihiro Nakashima, Hiromitsu Fujikawa and Katsuyuki Yamazaki: Memory Management of Density-Based Spam Filter, Proceedings of 2005 Symposium on Applications and the Internet: Saint 2005, pp.370-376 (2005)
  95. Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda and Takashi Washio: Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data, Proceedings of 9th Pacific-Asia Conference, PAKDD 2005, ISBN: 3-540-26076-5, Lecture Notes in Computer Science, Springer-Verlag GmbH, ISSN: 0302-9743, Vol. 3518 / 2005, Advances in Knowledge Discovery and Data Mining (2005)
  96. Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda and Takashi Okada: Mutagenicity Risk Analysis by Using Class Association Rules, Proc. of First International Workshop on Risk Management Systems with Intelligent Data Analysis (RMDA-2005), pp.23-34 (2005)
  97. Katsutoshi Yada, Hiroshi Motoda and Takashi Washio: A Data Mining for Graph Structure Data Helps to Discover New Knowledge in Consumer Behavior and Makes Profits, Proc. CD of AMS International Retailing Conference Reims, France, pp.1-17 (2005)
  98. Takashi Washio, Fuminori Adachi and Hiroshi Motoda: Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics, Proc. of Nineteenth International Joint Conference on Artificial Intelligence, pp.1642-1644 (2005)
  99. Takashi Washio, Koutarou Nakanishi and Hiroshi Motoda: Deriving Class Association Rules Based on Levelwise Subspace Clustering, Knowledge Discovery in Databases, Proc. of PKDD2005: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, LNAI Vol.3721, pp.692-700 (2005)
  100. Alexandre Termier, Marie-Christine Rousset, Mich ele Seba, Kouzou Ohara, Takashi Washio, and Hiroshi Motoda: Computation-time efficient and robust attribute tree mining with DRYADEPARENT, Proc. of the Third International Workshop on Mining Graphs, Trees and Sequences: MGTS2005, pp.63-76 (2005)
  101. Takashi Washio, Fuminori Adachi, Hiroshi Motoda: SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos, Proc. of Discovery Science, 8th International Conference, DS2005, pp.253-266 (2005)
  102. Alexandre Termier, Marie-Christine Rousset, Mich ele Seba, Kouzou Ohara, Takashi Washio, and Hiroshi Motoda: Efficent Mining of High Branching Factor Attribute Trees, Proc. of ICDM''05: The Fifth IEEE International Conference on Data Mining, pp. 785-788 (2005)
  103. Takashi Washio, Yuki Mitsunaga and Hiroshi Motoda: Mining Quantitative Frequent Itemsets Using Adaptive Density-based Subspace Clustering, Proc. of ICDM''05: The Fifth IEEE International Conference on Data Mining, pp.793-796 (2005)
  104. Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda and Takashi Washio: Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction, Proc. of 10th Pacific-Asia Conference, PAKDD2006, Advances in Knowledge Discovery and Data Mining, LNAI 3918, pp.390-399 (2005)

Before 1996

  1. M. Senoh and H. Motoda: Hybrid Simulation of Nuclear Reactor for Optimal Fuel Management, Proc. of AICA Symposium, pp.G-3/1-G-3/5, Tokyo (April, 1971)
  2. H. Motoda, T. Kiguchi and T. Kawai: Optimal Rod Programming and Loading Pattern in a Multiregion Reactor, Trans. Am. Nucl. Soc., Vol.15,pp.105-106 (1972)
  3. H. Motoda, T. Kiguchi and T. Kawai: Computer Program for Control Rod Programming of BWR, Trans. Am. Nucl. Soc., Vol.16, pp.171-172 (1973)
  4. T. Kiguchi and H. Motoda: Development of Computer Program INROD for Intermediate Term Control Rod Programming of BWR, Paper presented at IAEA Specialists' Meeting on Spatial Control Problems, Nykoping, Sweden (Oct.,1974)
  5. T. Kiguchi and H. Motoda: Development of Computer Program STROD for Startup Control Rod Programming of BWR, Paper presented at IAEA Specialists' Meeting on Spatial Control Problems, Nykoping, Sweden (Oct.,1974)
  6. Y. Nishizawa, T. Kiguchi and H. Motoda: On-Line Core Performance Prediction of BWR, Trans. Am. Nucl. Soc., Vol.22, pp.242-243 (1975)
  7. T. Hayase and H. Motoda: BWR Control Rod Programming Using Heuristic and Mathematical Methods, Trans. Am. Nucl. Soc., Vol.27, pp.727-728(1977)
  8. T. Kiguchi, T. Fukuzaki, Y. Nishizawa and H. Motoda: Evaluation of On-Line Power Distribution Prediction Method by BWR Operating Data, Trans. Am. Nucl. Soc., Vol.27, pp.728-730 (1977)
  9. M. Serizawa, H. Motoda, S. Kobayashi, S. Yamada, H. Iida, M. Yokomi and H. Nakamura: Experience with Computer Based Systems Applied to BoilingWater Reactor Power Plant, Proc. of Joint Automatic Control Conference,FP21-3:50, pp.360-366, San Francisco (June, 1977)
  10. T. Enomoto, Y. Bessho, T. Kiguchi, H. Motoda, T. Hayase and H. Hiranuma: Development of Startup Control Rod Programming Code System for BWRs, Trans. Am. Nucl. Soc., Vol.30, pp.648-648 (1978)
  11. T. Kiguchi, H. Motoda, S. Kobayashi, S. Uchikawa, M. Yokomi, H. Iidaand H. Nakamura: On-Line Core Performance Evaluation and Operating Guidance System for Boiling Water Reactors, Proc. of IAEA InternationalSymposium on Nuclear Power Plant Control and Instrumentation,IAEA-SM-226/30, pp.1-23, Cannes, France (April, 1978)
  12. O. Yokomizo, I. Sumida and H. Motoda: Development of a Time-DomainBWR Core Stability Analysis Program, Trans. Am. Nucl. Soc., Vol.34,pp.605-606 (1980)
  13. H. Motoda, Y. Bessho, T. Hayase and K. Kato: Multi-Region Neutronics Model for Slow Transient Analysis of BWRs, Trans. Am. Nucl. Soc., Vol.38,pp.352-354 (1981)
  14. N. Yamada and H. Motoda: A Diagnosis Method of Dynamic System Using the Knowledge on System Description, Proc. of Eight International JointConference on Artificial Intelligence (IJCAI-83), pp.225-229 (1983)
  15. T. Kiguchi, K. Yoshida, H. Motoda and S. Kobayashi: A Method of Plant Diagnosis by Knowledge Engineering Technique, Proc. of Enlarged Halden Programm Group Meeting, OECD Halden Reactor Project, pp.G-2/1-G-2/7, Loen,Norway (May 1983)
  16. H. Motoda, N. Yamada and K. Yoshida: Preliminary Study of Diagnosis through Knowledge about Systems Descriptions, Tran. Am. Nucl. Sci.,Vol.41, pp.294-295 (1984)
  17. H. Motoda, N. Yamada and K. Yoshida: A Knowledge Based System for Plant Diagnosis, Proc. of FGCS-84, pp.582-588 (1984)
  18. T. Washio, M. Kitamura, K. Kotajima and K. Sugiyama: Semantic Network Approach to Automated Failure Diagnosis in Nuclear Power Plant, Proc. of ANS International Topical Meeting on Computer Applications for Nuclear Power Plant Operation and Control., pp.654-661 (1985)
  19. M. Kitamura, T. Washio, K. Kotajima and K. Sugiyama: Advanced Techniques of Time Series Analysis for Reactor Surveillance and Diagnosis, Proc. of 6th Power Plant Dynamics, Control \& Testing Symposium., Vol.1, pp.23.01-23.18 (1986)
  20. T. Washio, M. Kitamura, K. Kotajima and K. Sugiyama: Automated Generation of Nuclear Power Plant Safety Information(Qualitative Simulation and Derivation of Failure Symptom Knowledge), Proc. of 6th Power Plant Dynamics, Control \& Testing Symposium., Vol.1, pp.39.01-39.17 (1986)
  21. M. Kitamura, T. Baba, T. Washio and K. Sugiyama: Development of Knowledge Base System for Assisting Signal Validation Scheme Design, Proc. of the Topical Meeting "Artificial Intelligence and Other InnovativeComputer Applications in the Nuclear Industry: Present and Future", M. C.Majumdar, D. Majumdar, J. I. Sackett, Eds., Plenum Press, pp.141-147 (1987)
  22. T. Washio, M. Kitamura and K. Sugiyama: A Method of FailureDiagnosis Based on Time-Domain Failure Symptoms, Trans. Am. Nucl. Soc. 13th Biennial Conference on Reactor Operating Experience \& International Meeting on Nuclear Power Plant Operation., Vol.54, Suppl.1, pp.148-149 (1987)
  23. T. Washio and J. A. Bernard: Development and Experimental Demonstration of a Noise Reduction Technique for a Non-Linear Dynamic System, Trans. Am. Nucl. Soc., Vol.57, pp.96-97 (1988)
  24. J. A. Bernard and T. Washio: An Examination of Expert Systems Activities Within the Nuclear Industry, Trans. Am. Nucl. Soc., Vol.57, pp.240-241 (1988)
  25. J. A. Bernard, K. S. Kwok and T. Washio: Autonomous Controlof Spacecraft Nuclear Reactors, Proc. of SPIE Conference: Space Station Automation IV SPIE., Vol.1006, pp.28-45 (1988)
  26. Akito Sakurai and Hiroshi Motoda: A Proof Method of Fixed Clause Without Using Explicit Use of Mathematical Induction, Proc. of The Logic Programming Conference '88, pp.29-38 (1988)
  27. A. Sakurai and H. Motoda: Proving Definite Clauses without Explicit Use of Inductions, Logic Programming '88, Lecture Note in Artificial Intelligence 383, Springer Verlag, pp.11-26 (1989)
  28. M. Suwa and H. Motoda: Understanding Metaphors by Frustration-Based Learning Method, Proc. of Fourth Knowledge Acquisition for Knowledge-Based Systems Workshop, pp.33\_1-33\_17, (1989)
  29. J. A. Bernard, K. S. Kwok, T. Washio, F. J. Wyant and F. V. Thome: The Automated Startup of Spacecraft Nuclear Reactors, Proc. of the Sixth Symposium on Space Nuclear Power Systems CONF-890103-Summs., pp.466-469 (1989)
  30. T. Washio and J. A. Bernard: Stability Considerations and Noise Reduction in the Implementation of the MIT-SNL Period-Generated Minimum Time Control Laws, Proc. of the Sixth Symposium on Space Nuclear Power Systems CONF-890103-Summs., pp.476-479 (1989)
  31. M. Kitamura, T. Washio, T. Baba and K. Sugiyama: Evaluation of Signal Importance for Effective Implementation of Functional Redundancy, Proc. of Computing and Computers for Control Systems (IMACS), P. Borne etal. Eds., J. C. Baltzer AG Scientific Publishing Co., pp.315-317 (1989)
  32. J. A. Bernard and T. Washio: The Utilization of Expert Systems Within the Nuclear Industry, Proc. of the American Control Conference., Vol.1, pp.373-378 (1989)
  33. T. Washio: Derivation of Exogenously-Driven Causality Based on Assumptive Structural Equations, Working Papers of QR'89: The Third International Workshop on Qualitative Reasoning (1989)
  34. H. Motoda: Towards Deep Understanding in Problem Solving, Invited, Proc. of The First International Conference on Supercomputing in Nuclear Applications (SNA'90), pp.569-574 (1990)
  35. K. Yoshida and H. Motoda: Towards Automatic Generation of Hierarchical Knowledge Base, Working Note of the AGAA-90 Workshop,pp.98-109 (1990)
  36. K. Yoshida and H. Motoda: Hierarchical Knowledge Representation based on Approximation, Proc. of JKAW-90, pp.345-360 (1990)
  37. A. Kawaguchi, H. Motoda and R. Mizoguchi: An Architecture of Knowledge Acquisition by Interview based on Dynamic Analysis, Proc. of JKAW-90, pp.81-96 (1990)
  38. S. Kobayashi, T. Terano, H. Motoda and R. Mizoguchi: Research Activities of Knowledge Acquisition and Learning in Japan , (招待論文), Proc. of JKAW-90, pp.113-133 (1990)
  39. S. H. Lau, T. Washio, K. S. Kwok, J. A. Bernard, D. D. Lanning and F. J. Wyant: A Methodology for the Control of Core Average Temperature inSpacecraft Nuclear Reactors Proc. of the Seventh Symposium on Space Nuclear Power Systems CONF-900109., pp.956-961 (1990)
  40. T. Washio: Development of a Quantitative and Symbolic Causal Reasoning Method for Spacecraft Nuclear Reactors, Proc. of the Seventh Symposium on Space Nuclear Power Systems CONF-900109., pp.968-975 (1990)
  41. M. Suwa and H. Motoda: Learning Abductive Strategies from an Example , Working Note of the AAAI-91 Workshop on Towards Domain-independent Strategies for Abduction (1991)
  42. M. Suwa and H. Motoda: Learning Metaphorical Relationships Between Concepts based on Semantic Representation Using Abstract Primitives, Working Note of the AAAI-91 Workshop on Working Note on the IJCAI-91 Workshop on Computational Approacehs to Non-Literal Language Metaphor, Metonymy, Idiom, Speech Acts, Implicature IJCAI91 non-literal workshop ,pp.72-79 (1991)
  43. M. Suwa and H. Motoda: Acquiring Strategic Knowledge for Overcoming Imperfect Situations , Proc. of the First Australian Knowledge Acquisitionfor Knowledge-Based Systems Workshop (AKAW91), pp.1-16 (1991)
  44. M. Suwa and H. Motoda: The Use of Abstract Primitives in Representingthe Meaning of Verbs for Understanding Metaphors , Proc. of ALT91,pp.231-242 (1991)
  45. M. Suwa and H. Motoda: Learning Metaphorical Relationships betweenConcepts based on Semantic Representation using Abstract Primitives ,Proc. of IJCAI Workshop on Non-literal Language: Metaphor, Metonymy, Idion,Speech Acts, Implicature, pp.123-131 (1991)
  46. M. Suwa and H. Motoda: Learning Abductive Strategies from an Example, Invited, Proc. of the Workshop on Empirical Machine Learning, pp.36-43 (1991)
  47. T. Washio, Y. Kitamura, H. Takahashi and M. Kitamura: Decision Support for Operability Improvement and Maintenance Planning by Analytic Hierarchy Process Methodology, Probabilistic Safety Assessment and Management (Proc. of PSAM:International Conference on Probabilistic Safety Assessment and Management), G. Apostolakis Eds., Vol.2, pp.1451-1456 (1991)
  48. A. Levy, H. Motoda and Y. Iwasaki: Acquiring (Ir)relevance Knowledge for Problem Solving , Proc. of the Second Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop (JKAW92), pp.263-278 (1992)
  49. K. Yoshida and H. Motoda: Automatic Knowledge Reformulation, Proc.of the Second Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop (JKAW92), pp.279-293 (1992)
  50. A. Levy, Y. Iwasaki and H. Motoda: Relevance Reasoning to Guide Compositional Modeling , Proc. of the Second Pacific Rim International Conference on Artificial Intelligence (PRICAI92), pp.910-916, Korea (1992)
  51. A. Levy, Y. Iwasaki and H. Motoda: Relevance Reasoning to Guide Compositional Modeling, Working Note on Approximation and Abstraction of Computational Theories, AAAI-92 Workshop, San Jose (1992)
  52. A. Levy, Y. Iwasaki and H. Motoda: Relevance Reasoning to Guide Compositional Modeling , Proc. of The Sixth International Workshop on Qualitative Reasoning about Physical Systems, Edinburgh, Scotland (1992)
  53. M. Suwa and H. Motoda: Primitive Matching Approach: A Calculation Modelfor Finding Analogical Correspondences in Metaphorical Sentences - Preliminary Experimental Results, Proc. of CSLI/IAP Japan Forum,Sep.10-11, Tokyo (1992)
  54. J. A. Bernard, K. S. Kwok, T. Washio, F. J. Wyant and F. V. Thome: Experimental Demonstration of the MIT-SNL Period-Generated MinimumTime Control Laws for Rapid Increases of Reactor Power from SubcriticalConditions, Space Nuclear Power Systems 1989, M. S. El-Genk and M. D. Hoover Eds., Orbit Book Co., pp.381-392 (1992)
  55. T. Washio and J. A. Bernard: Stability Considerations Concerning the Implementation of the MIT-SNL Period-Generated Minimum Time Control Laws, Space Nuclear Power Systems 1989, M. S. El-Genk and M. D. Hoover Eds.,Orbit Book Co., pp.393-404 (1992)
  56. T. Washio and M. Kitamura: A New Approach to Plant Component Diagnosis Based on Credible and Transparent Physical Knowledge, Proc. of 8th Power Plant Dynamics,Control \& Testing Symposium., Vol.1, pp.15.01-15.16 (1992)
  57. T. Washio, H. Takahashi and M. Kitamura: A Method for Supporting Decision-Making on Plant Operation Based on Human Reliability Analysis with Fuzzy Integral Proc. of IIZUKA'92: The 2nd International Conference on Fuzzy Logic and Neural Networks., Vol.2, pp.841-845 (1992)
  58. R. Takahashi, A. Kameda and T. Washio: Fuzzy Evaluation Methodology for Man-Machine Task Allocation, Proc. of Post ANP'92 Conference Seminaron Human Cognitive and Cooperative Activities in Advanced Technological Systems., pp.13-24 (1992)
  59. M. Kitamura, H. Furukawa, K. Kuchimura and T. Washio: Diversification of Symptom Description and Causal Reasoning forHigher Credibility of Computer-Assisted Diagnosis in Nuclear Plants, Proc. of the Topical Meeting on Nuclear Plant Instrumentation, Control, and Man-Machine Interface Technologies., pp.427-434 (1993)
  60. T. Washio, M. Sakuma and M. Kitamura: A Diagnosis Method for Multiple Process Failures, Working Papers of DX-93: The FourthInternational Workshop on Principles of Diagnosis., pp.327-340 (1993)
  61. M. Kitamura, H. Furukawa, M. Sakuma and T. Washio: Combining Advisory and Credibility Information as CommunicationMessage from Intelligent Machine for Efficient Man-Machine Cooperation, Proc. of RO-MAN'93: 2nd IEEE International Workshop on Robot and HumanCommunication., pp.253-258 (1993)
  62. M. Kitamura, K. Kuchimura, H. Furukawa and T. Washio: Advanced Diagnosis of Complex Dynamic Systems Through ConsensusFormation Among Multiple Neural Networks, Intelligent Engineering Systems Through Artificial Neural Networks (Proc. of ANNIE'93: Artificial Neural Networks in Engineering) Vol.3, pp.641-64 (1993)
  63. H. Motoda, K. Yoshida and M. Suwa: Some Insights into the Nature of Learning from Machine Learning Studies , Proc. of the 1993 Korea/Japan Joint Conference on Expert Systems, pp.288-302 (1993)
  64. M. Suwa and H. Motoda: A perceptual criterion for visually controlling learning, Proc. of IJCAI-93 workshop on Principles on Hybrid Representation and Reasoning, August, pp.72-83 (1993)
  65. Hari N. Narayanan and H. Motoda: Behavior Hypothesis from Schematic Diagrams : A Hybrid Approach , Proc. of IJCAI-93 workshop on Principles on Hybrid Representation and Reasoning, August, pp.50-61 (1993)
  66. Yoshida, H. Motoda and N. Indurkhya: Unifying Learning Methods byColored Digraphs, Proc. of IJCAI-93 workshop on Machine Learning and Knowledge Acquisition, August, pp.253-269 (1993)
  67. M. Iwayama, N. Indurkhya and H. Motoda: A New Algorithm for Automatic Configuration of Hidden Markov Models, Proc. of ALT93, pp.237-250 (1993)
  68. M. Suwa and H. Motoda: A perceptual criterion for visually controlling learning, Proc. of ALT93, pp.356-369 (1993)
  69. K. Yoshida, H. Motoda and N. Indurkhya: Unifying Learning Methods by Colored Digraphs, Proc. of ALT93, pp.342-355 (1993)
  70. M. Suwa and H. Motoda: Learning Perceputually-chunked Macro-operators, Handout of International Workshop on Machine Intelligence (1992), Revised paper in Machine Intelligence, Vol.13,pp.419-440, Oxford Univ. Press (1994)
  71. M. Iwayama, N. Indurkhya and H. Motoda: A New Algorithm for Automatic Configuration of Hidden Markov Models and its Application to Transmembrane Domain Classification, Proc. of '93 Japan/Korea Joint Conference on Expert Systems, pp.319-324 (1994)
  72. H. Narayanan, M. Suwa, and H. Motoda: A Study of Diagrammatic Reasoning from Verbal and Gestural Data, Proc. of the Sixteenth AnnualConfer ence of the Cognitive Science Society, pp.652-657 (1994)
  73. M. Suwa and H. Motoda: PCLEARN: A model for learningperceptual-chunks, Proc. of the Sixteenth Annual Conference of the Cognitive Science Society, pp.830-835 (1994)
  74. H. Narayanan, M. Suwa, and H. Motoda: Qualitative Behavior Hypothesis from Device Diagrams, Proc. of the Eighth International Workshop on Qualitative Reasoning about Physical Systems, pp.197-204 (1994)
  75. H. Narayanan, M. Suwa, and H. Motoda: How Things Appear to Work:Predicting Behaviors from Device Diagrams, Proc. of Twelveth National Conference on Artificial Intelligence (AAAI-94), Vol. 2, pp.1161-1167(1994)
  76. K. Yoshida and H. Motoda: User Model Acquisition for Intelligent UserInterface, Proc. of the Third Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop (JKAW94), pp.107- 119 (1994)
  77. M. Kitamura, H. Furukawa, M. Sakuma and T. Washio: Diversity and Consensus as Key Concepts for Design of Intelligent Operator Support System, Proc. of the Fourth International Topical Meeting on Nuclear Thermal Hydraulics, Operations and Safety., pp.41-C-1 - 41-C-8 (1994)
  78. T. Washio, M. Sakuma and M. Kitamura: A Diagnosis Method for Multiple Failures in a Nonlinear and Dynamic Process, Proc. of AI'94: Tenth Canadian Conference on Artificial Intelligence pp.139-146 (1994)
  79. M. Kitamura, H. Furukawa, M. Sakuma, R. Kozma and T. Washio: Robust Diagnosis of Nuclear Plant Anomalies Through Multiple Neuro-Agent Cooperation, Trans. Am. Nucl. Soc., Vol.70, pp.105-107 (1994)
  80. T. Washio: A History-oriented Envisioning Method, Working Papers of QR'94: the Eighth International Workshop on Qualitative Reasoning about Physical Systems., pp.286-294 (1994)
  81. T. Washio and M. Kitamura: Towards a Theory of Diversity-based Diagnosis, Working Papers of DX-94: The Fifth International Workshop on Principles of Diagnosis., pp.352-356 (1994)
  82. A. Kawaguchi, S. Nishioka and H. Motoda: A Flash-Memory Based File System," Proc. of USENIX Techincal Conference, pp.155-164 (1995)
  83. M. Suwa and H. Motoda: On Dealing with the Dynamic Utility of Learned Knowledge, Handout of International Workshop on Machine Intelligence(1993), Revised paper to appear in Machine Intelligence, Vol.14, OxfordUniv. Press (1995)
  84. K. Yoshida and H. Motoda: Automated User Modeling for Intelligent Interface,Proc. of the Sixth International Conference on Human-Computer Interaction, Symbiosis of Human and Artifact, Y. Anzai, K. Ogawa and H.Mori (Editors), Elsevior Science B.V., pp.1103-1108 (1995)
  85. H. Narayanan, M. Suwa, and H. Motoda: Diagram-based Problem Solving: The Case of an Impossible Problem, Proc. of the Seventeenth AnnualConference of the Cognitive Science Society, pp.206-211(1995)
  86. K. Yoshida and H. Motoda: Table, Graph and Logic for Induction , Proc. of Machine Intelligence Workshop, Oxford, UK (1995)
  87. T. Washio and M. Kitamura: A Fast History-oriented Envisioning Method Introducing Temporal Logic, Working Papers of QR'95: The Ninth International Workshop on Qualitative Reasoning about Physical Systems pp.279-288 (1995)
  88. M. Kitamura, H. Furukawa, R. Koza and T. Washio: Guiding Rules for Development of Intelligent Monitoring System of Nuclear Power Plants, Proc. of SMORN VII: A Symposium on Nuclear Reactor Surveillance andDiagnostics., pp.14.5.1-14.5.9 (1995)
  89. T. Washio and M. Kitamura: Worm-Type Agents for Intelligent Operation of Large-Scale Man-Machine Systems, Symbiosis of Human and Artifact (Proc. of HCI International '95: 6th International Conference on HUMAN-COMPUTER INTERACTION), Y. Anzai, K. Ogawa and H. Mori Eds., Elsevier Science B.V., pp.925-930 (1995)


Books[Go back to contents]

  1. H. Motoda: Plant Diagnosis (in Japanese), AI Technology (Chapter 6), Eds. by F. Mizoguchi, Ohmsha, pp.91-117 (1986)
  2. H. Motoda: Operator Guidance of Nuclear Power Plant (in Japanese), 6.4.4 in AI Handbook, pp.334-356 (1987)
  3. H. Motoda: Towards Understanding Physical Systems by Qualitative Reasoning (in Japanese), Chapter 11 in Qualitative Reasoning, Kyoritsu Publishing Co., pp.267-287 (1989)
  4. J. A. Bernard and T. Washio: Expert Systems Applications within the Nuclear Industry, American Nuclear Society, La Grange Park IL USA, (1989)
  5. H. Motoda: Plant Diagnosis (in English), AI Technology (Chapter 6),Ed. by F. Mizoguchi, Ohmsha, pp.109-147 (1990)
  6. H. Motoda: Causal Understanding (in Japanese), Chapter 3 in Handbook of Cognitive Science, Kyoritsu Publishing Co., pp.118-127 (1991)
  7. H. Motoda: Qualitative Physics(in Japanese), Chapter 21 in The Handbook of Artificial Intelligence (Translation from The Handbook of Artificial Intelligence, Edited by A. Barr, P. R. Cohen and Ed. A. Feigenbaum, Addison Wesley, 1989), Kyoritsu Publishing Co., pp.387-484 (1993)
  8. T. Washio and M. Kitamura: Human Reliability Analysis with Fuzzy Integral, Reliability and Safety Analyses under Fuzziness (Chap.6), T.Onisawa and J.Kacprzyk, Eds., Physica-Verlag Heidelberg, pp.233-244 (1995)
  9. T. Washio: Intelligence Engineering, Chapter 2: Agent, Eds. K. Hirota, Shoukoudou Pub., pp.27-42 (1996)
  10. H. Liu and H. Motoda: Feature Selection for Knowledge Discovery and Data Mining, Kluwer Academic Publishers (1998)
  11. H. Liu and H. Motoda (Eds.): Feature Extraction, Construction and Selection -Data Mining Perspective -, Kluwer Academic Publishers (1998)
  12. H. Lee and H. Motoda (Eds.): PRICAI98: Topics in Artificial Intelligence, Lecture Notes in Artificial Intelligence 1531, Springer (1998)
  13. S. Arikawa and H. Motoda (Eds.): Discovery Science, Lecture Notes in Artificial Intelligence 1532, Springer (1998)
  14. H. Motoda, R. Mizoguchi, P. Compton and H. Liu (Eds), "Pacific Rim Knowledge Acquisition Workshop (PKAW98)'' (1998)
  15. P.Compton, A. Hoffmann, H. Motoda and T. Yamaguchi, "Proc. of the 6th Pacific Rim Knowledge Acquisition Workshop (PKAW2000) (2000)
  16. H. Liu and H. Motoda, "Instance Selection and Construction for Data Mining (Eds.)'', Kluwer Academic Publishers (2001)
  17. H. Motoda (ed.), "Active Mining - New Directions of Data Mining -'', Frontiers in Artificial INtelligence and Applications, IOS Press (2002)
  18. Takao Terano, Toyoaki Nishida, Akira Namatame, Syrusaku Tsumoto, Yukio Ohsawa, Takashi Washio (Eds): New Frontiers in Artificial Intelligence : Joint JSAI 2001 Workshop Post-Proceedings, LNCS/LNAI, ISBN:3540430709 (2002)
  19. S. Tsumoto, T. Yamaguchi, M. Numao and H. Motoda, "Active Mining'', Lecture Notes in Artificial Intelligence 3430, Springer (2005)
  20. Takashi Washio and Hiroshi Motoda: Data Mining and Knowledge Discovery Handbook, C5.4.1 - Methodology for Equation Fitting, Springer, ISBN:0387244352 pp.368-375 (2005)
  21. Akihiro Inokuchi, Takashi Washio and Hiroshi Motoda: A General Framework for Mining Frequent Subgraphs from Labeled Graphs, pp.53-82, Advances in Mining Graphs, Trees and Sequences, T. Washio, J.N.Kok and L. De Raedt (Eds.), Frontiers in Artificial Intelligence and Applications, IOS Press, ISBN I-58603-528-2, ISSN 0922-6389 (2005)
  22. Takashi Washio, Joost .N. Kok and Luc De Raedt (Eds): Advances in Mining Graphs, Trees and Sequences, Frontiers in Artificial Intelligence and Applications, IOS Press, ISBN I-58603-528-2, ISSN 0922-6389 (2005)


Review Articles[Go back to contents]

  1. H. Motoda, T. Kiguchi and S. Kobayashi: Application of Knowledge Engineering to Nuclear System (in Japanese), Invited, Systems and Control, Vol.27, No.7, pp.448-454 (1983)
  2. Y. Kobayashi and H. Motoda: Teknowledge that sells Knowledge Engineering (in Japanese), Invited, Journal of Mechanical Society of Japan, Vol.86, No.780, pp.1300-1301 (1983)
  3. T. Kiguchi and H. Motoda: Application of Knowledge Engineering to Nuclear System (in Japanese), Invited, Energy Review, Vol.1, pp.7-11 (1894)
  4. H. Motoda: Problem Solving by Knowledge (in Japanese), Invited, Journal of Atomic Energy Society of Japan, Vol.26, No.4, pp.271-276 (1984)
  5. H. Motoda: Application of Knowledge Information Processing to Plant Control (in Japanese), Invited, Computol, Vol.10, pp.147-153 (1985)
  6. H. Motoda, T. Ogino, K. Sekimizu, Y. Shinohara and M. Kitamura: Knowledge Engineering and Nuclear Technology (in Japanese), Invited, Journal of Atomic Energy Society of Japan, Vol.28, No.9, pp.2-13 (1986)
  7. M. Ishizuka, A. Koyama, S. Takagi, J. Tujii, H. Motoda, and H. Ueno: Problems with Expert Systems (in Japanese), Invited, Information Processing, Vol.28, No.2, pp.218-236 (1987)
  8. H. Motoda: New Technical Trends of Machine Learning and Knowledge Acquisition (in Japanese), Invited, Journal of Japanese Society for Artificial Intelligence, Vol.3, No.6, pp.691-694 (1988)
  9. H. Motoda: Hurdle for Knowledge Information Processing - Expert System - (in Japanese), Invited, Journal of IEICE, Vol.72, No.3, pp.265-271 (1989)
  10. H. Motoda and K. Yoshida: Qualitative Reasoning as a Basis of Deep Reasoning (in Japanese), Invited, Journal of Japanese Society for Artificial Intelligence, Vol.4, No.5, pp.538-546 (1989)
  11. H. Motoda: Current Status of Expert System Development and RelatedTechnologies in JAPAN, Invited, IEEE Expert, Vol.5, No.4, pp.3-11 (1990)
  12. H. Motoda and K. Yoshida: Application of Qualitative Reasoning to Knowledge Acquisition (in Japanese), Invited, Journal of IPSJ., Vol.32, No.2, pp.153-162 (1991)
  13. H. Motoda, R. Mizoguchi, J. Boose and B. Gaines: Knowledge Acquisition for Knowledge-based Systems, Invited, IEEE Expert, Vol. 6,No.4, pp.53-64 (1991)
  14. H. Motoda: Approach to Knowledge Reuse - Research Activities in KADS related projects in Europe - (in Japanese), Invited, Journal of Japanese Society for Artificial Intelligence, Vol.9, No.1, pp.10-16 (1994)
  15. T. Washio: Application of Fuzzy Integral to Human Reliability, Special Issue on Application of Fuzzy Thepry to Reliability and Risk Analysis: Journal of Japan Society for Fuzzy Theory and Systems, Vol.5, No.5, pp.958-969 (1993)
  16. H. Motoda: Book Review: Second Generation Expert System, Edited by Jean-Marc David, Jean-Paul Krivine and Raid Simmons, Invited, IEEE Expert, Vol.9, No.2, pp.66-76 (1994)
  17. R. Mizoguchi and H. Motoda: Expert Systems Research in Japan, Invited, IEEE Expert, Vol.10, No.4, pp.14-23 (1995)
  18. H. Motoda and T. Washio: Machine Learning and Data Mining, Journal of Japanese Society for Artificial Intelligence,Vol.12, No.4, pp.11-18 (1997)
  19. H. Liu and H. Motoda: Feature Transformaion and Subset Selection, IEEE Intelligent Systems, Vol. 13, No. 2, pp.26-28 (1998)
  20. T. Washio and H. Motoda: Theory of Scale Types (in Japanese), Journal of Japan Society for Fuzzy Theory and Systems,Vol.10, No.3, pp.401-413 (1998)
  21. T. Washio: Model-based Diagnosis (in Japanese), Journal of the Atomic Energy Society of Japan, Vol.40, No.9, pp. 664-667 (1998)
  22. Hiroshi Motoda and Takashi Washio: Discovery of Laws, IEICE Transactions on Information and Systems, Special Issue on Surveys on Discovery Scoence, Vol.E83-D, No.1, pp.44-51 (2000)
  23. H. Motoda and S. Arikawa, "Special Feature on Discovery Science,'' New Generation Computing, Vol.18, No.1, pp.13-16 (2000)
  24. Takashi Washio and Hiroshi Motoda: State of the Art of Graph-based Data Mining, ACM, SIGKDD Explorations, Vol.5, Issue 1, pp.59-68 (2003)

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