鷲尾研究室の研究発表資料 English

2005年6月1日現在
このリストは直近の研究発表資料を含んでいない場合があります。

目次

特別研究［目次に戻る］
 
2005年度博士論文 　
受動的観測データからの科学的法則式の発見に関する研究 足立　史宜
2005年度修士論文
定量的多頻度アイテム集合マイニング原理とその実装に関する研究 光永　悠紀
擬似チャンキングに基づくグラフマイニング手法の開発と医療データへの適用 茂木　明
2005年度卒業論文
定量的共起パターン変化のデータマイニング手法に関する研究 城戸　健太郎
外部入力付自己回帰モデルの次数決定手法に関する研究 深田　健太
2004年度修士論文
数値バスケット分析手法の開発に関する研究 藤本　敦
2004度卒業論文
グラフマイニング手法における部分グラフ探索の効率化 高林　健登
定量的相関規則を用いたクラス分類手法に関する研究 中西　耕太郎
2003年度博士論文
一般構造を有するパターンのマイニングに関する研究 猪口　明博
2003年度修士論文
Decision Tree Graph-Based Inductionを用いたグラフ構造データに対する決定木の構築 ジアムサクン
2003年度卒業論文
グラフ構造データ標準表現の提案と実装に関する研究 光永　悠紀
部分パターンを制約とした グラフ構造データからの 知識獲得に関する研究 茂木　明
2002年度博士論文
大規模グラフ構造データからの高速マイニングに関する研究 松田　喬
2002年度修士論文
グラフマイニングの高速化と立体構造データへの拡張適用に関する研究 西村　芳男
汎用検索手法の実装と実適用に関する研究 足立　史宜
2002年度卒業論文
構造的類似性に基づくグラフクラスタリングに関する研究 庄田　良助
汎用検索手法の２次元データへの拡張に関する研究 藤本　敦
2001年度博士論文
知識獲得のための Ripple Down Rules法の効率化に関する研究 和田　卓也
Focusing Solutions for Data Mining: Analytical Studies and Experimental Results in Real World Domains 寺邊　正大
2001年度修士論文
近傍事例に対するクラス判断のみを利用したRDR知識ベースの構築に関する研究 藤原　啓成
2001年度卒業論文
機械学習の手法を用いたグラフ構造データに対する分類器の構築に関する研究 ジアムサクン
数学的変換の不変性に基づく汎用検索手法に関する研究 足立　史宜
2000年度修士論文
データマイニングと数値属性離散化技術に関する研究 塚田　誠
2000年度卒業論文
ＭＤＬ原理に基づく数値離散化手法に関する研究 池田　隆之
大規模グラフ構造データのマイニング高速化に関する研究 西村　芳男
1999年度修士論文
膨大なグラフ構造データからの高速マイニング手法に関する研究 猪口　明博
一般グラフ構造データに対するGraph-Based Inductionとその応用に関する研究 松田　喬
1999年度卒業論文 　
グラフ構造データマイニングのための誘導部分グラフマッチング手法に関する研究 オンアート
知識獲得のための Ripple Down Rules 法における近傍事例の活用に関する研究 藤原　啓成 
1998年度修士論文 　
Graph-Based Induction の分類規則学習への適用とその応用に関する研究 鹿山　俊洋
知識獲得のための Ripple Down Rules 法におけるデフォルト知識の特性評価に関する研究 和田　卓也 
1998年度卒業論文 　
数値属性離散化における　MDLP と AIC の比較に関する研究 塚田　誠
Graph-Based Induction の一般グラフへの拡張に関する研究 松田　喬
1997年度卒業論文 　
バスケット分析のグラフ構造データへの拡張と通信ネットワークデータへの適用の関する研究 猪口　明博
知識獲得のための Ripple Down Rules 法の性能評価に関する研究 和田　卓也 
1996年度卒業論文 　
グラフ構造データからの帰納学習法とインターフェースへの応用に関する研究 鹿山　俊洋
バスケット分析手法の開発と通信回線データへの適用に関する研究 松浦　大樹

学術論文［目次に戻る］

1996年度以降

  1. 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)
  2. 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)
  3. 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)
  4. 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)
  5. 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)
  6. 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)
  7. 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)
  8. 猪口 明博, 鷲尾 隆, 元田 浩: 多頻度グラフマイニング手法の一般化, 人工知能学会論文誌, Vol. 19, No. 5, pp.368-378 (2004)
  9. 吉田哲也，和田卓也，元田浩, 鷲尾 隆: 記述長に基づく適応的Ripple Down Rules法, 人工知能学会論文誌, Vol.19, No.6 B, pp.460-471 (2004)
  10. 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)
  11. 西村芳男，鷲尾隆，吉田哲也，元田浩，猪口明博，岡田孝: ＡＧＭアルゴリズムの高速化と立体構造解析への適用, 人工知能学会論文誌，Vol.18, No.5 C, pp.257-268 (2003)
  12. 金　智隆，磯村　正，鷲尾　隆，北風政史: 医療情報に対する新しいデーや解 析手法の適用, 日本エム・イー学会誌，生体工学, Vol.41, Supp1.1, 2003, 第４１巻特別号, S4-4, pp.35 (2003)
  13. 鷲尾　隆，金　智隆，北風政史: データマイニングとそのBiomedical Engineeringへの適用, 日本エム・イー学会誌，生体工学, Vol.41, Supp1.1, 2003, 第４１巻特別号, S4-1, pp.32 (2003)
  14. 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)
  15. H. Liu and H. Motoda, "On Issues of Instance Selection,'' Data Mining and Knowledge Discovery, Vol. 6, No. 2, pp.115-130 (2002)
  16. 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)
  17. 丹羽雄二，鷲尾隆，元田浩: 尺度制約による複雑系，社会系のモデリングとその応用の提案, ヒューマンインターフェース学会研究報告集, Vol.4, No.2, pp.1-8 (2002)
  18. 寺邊　正大，鷲尾　隆，元田　浩: S3Baggingによる高速な分類生成, 情報処理学会論文誌：数理モデル化と応用，Vol.42, No.SIG 14 (TOM 5) (2001)
  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. 堀　聡，瀧　寛和，鷲尾　隆，元田　浩: データマイニングを用いた市場品質監視システム, 電気学会論文誌Ｃ（電子・情報・システム部門誌），Vol.121-C, No.8 ,pp. 1289-1295 (2001)
  21. 松田　喬，元田　浩，鷲尾　隆: 一般グラフ構造データに対するGraph-Based Inductionとその応用, 人工知能学会論文誌，Vol.16, No.4, pp.363-374 (2001)
  22. 鷲尾　隆，元田　浩: 大規模システムに関する科学的連立方程式モデルの発見, 人工知能学会誌, Vol. 15, No. 6, pp.1107-1116 (2000)
  23. 猪口明博，鷲尾　隆，元田　浩，熊澤公平，荒井尚英: 多頻度グラフパターンの完全な高速マイニング手法, 人工知能学会誌, Vol. 15, No. 6, pp.1052-1063 (2000)
  24. 鷲尾　隆, 元田　浩： スケールタイプ制約に基づく科学的法則式の発見，人工知能学会誌, Vol.15, No.4, pp.681-692 (2000)
  25. 鹿山俊洋，堀内　匡，元田　浩，鷲尾　隆：逐次ペア拡張による木構造データからの分類規則学習， 人工知能学会誌，Vol.15, No.3, pp485-494 (2000)
  26. 寺邊正大，片井　修，椹木哲夫，鷲尾　隆，元田　浩：相関ルールにもとづく属性生成手法，人工知能学会誌，Vol.15, No.1, pp.187-197 (2000)
  27. 和田卓也，堀内　匡，元田　浩，鷲尾　隆：Ripple Down Rules法における知識獲得の特性評価に基づくデフォルト知識の決定規範，人工知能学会誌，Vol.15, No.1, pp.177-186 (2000)
  28. H. Motoda and S. Arikawa："Special Feature on Discovery Science,'' New Generation Computing," Vol.18, No.1, pp.13-16 (2000)
  29. 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)
  30. 堀内　匡，藤野昭典，片井　修，椹木哲夫：経験強化を考慮したQ-Learningの提案とその応用， 計測自動制御学会論文集，Vol.35, No.5, pp.645-653 (1999)
  31. 堀内　匡，藤野昭典，片井　修，椹木哲夫：連続値入出力を扱うファジィ内挿型Q-Learningの提案， 計測自動制御学会論文集，Vol.35, No.2, pp.271-279 (1999)
  32. 鷲尾　隆，元田　浩：属性変量の尺度認知に基づく構成的法則発見手法, 認知科学，Vol.5, No.2, pp.80-94 (1998)
  33. 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)
  34. 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 (1998)
  35. H. Liu and H. Motoda: Feature Transformation and Subset Selection, IEEE Intelligent Systems, Vol.13, No.2, pp.26-28 (1998)
  36. B. H. Kang, K. Yoshida, H. Motoda and P. Compton: Help Desk System with Intelligent Interface, Applied Artificial Intelligence: An International Journal, Vol.11, pp.611-631 (1997)
  37. 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, Elsevier (1997)
  38. 吉田健一，元田　浩：逐次ペアに基づく帰納推論, 人工知能学会誌, Vol.12, No.1, pp.58-67 (1997)
  39. 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)
  40. H. Motoda： 情報処理の個別化・地球規模化時代における知識ベースシステムの進路, 人工知能学会誌, Vol.11, No.3, pp.371-375 (1996)
1996年度以前
  1. 諏訪正樹，元田　浩：認知的基準に基づくオペレータスキーマの学習, 認知科学，Vol.2, No.4, pp.38-55 (1995)
  2. 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)
  3. K. Yoshida and H. Motoda: CLIP: Concept Learning from Inference Pattern, Journal of Artificial Intelligence, Vol.75, No.1, pp.63-92 (1995)
  4. 鷲尾 隆，佐久間 正剛，古川 宏，北村 正晴：原子力プラント知的診断における多様性評価基準, 日本原子力学会誌, Vol.37, No.12, pp.1128-1136 (1995)
  5. M. Suwa and H. Motoda: On Dealing with the Dynamic Utility of Learned Knowledge, Machine Intelligence, Vol.14, Oxford Univ. Press (1995)
  6. 古川 宏，口村 啓二，鷲尾 隆，北村 正晴：原子力プラント知的診断のための情報多様化, 日本原子力学会誌，Vol.37, No.8, pp.729-739 (1995)
  7. 吉田健一，元田　浩，Nitin Indurkhya：類型パターンの抽出に基づく帰納的学習と演繹的学習の統合, 人工知能学会誌, Vol.10, No.1, pp.61-71 (1995)
  8. M. Suwa and H. Motoda: PCLEARN: A Computer Model for Learning Perceptual Chunks, AI communication, Vol.7, No.2, pp.114-125 (1994)
  9. 鷲尾 隆，佐久間 正剛，北村 正晴：機器・センサ多重故障に関する定量的高信頼診断手法, 人工知能学会誌，Vol.9, No.5 pp.719-729 (1994)
  10. 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)
  11. K. Yoshida, H. Motoda and N. Indurkhya: Graph-based Induction as a Unified Learning Framework , Invited, J. of Applied Intelligence, Vol.4,pp.297-328 (1994)
  12. 諏訪正樹，元田　浩：認知的方略(Perceptual-chunks)の学習　−学習プロセスの視覚的制御手法, 人工知能学会誌, Vol.9, No.4, pp.548-558 (1994)
  13. M. Suwa and H. Motoda: Learning Perceputually-chunked Macro-operators, Machine Intelligence, Vol.13, pp.419-440, Oxford Univ.Press (1994)
  14. 諏訪正樹，元田　浩：プリミティブマッチング法：隠喩的見立て知識の学習法, 人工知能学会誌, Vol.9, No.3, pp.417-426 (1994)
  15. K. Yoshida and H. Motoda: Hierarchical Knowledge Representation based on Approximations, International Journal of Expert Systems, Vol.5,No.2, pp.105-119 (1993)
  16. 元田　浩，溝口理一郎，西田豊明：知識の共有と再利用ワークショップ報告, 人工知能学会誌, Vol.8, No.5, pp.666-671 (1993)
  17. 吉田健一, 元田　浩：推論過程からの概念学習 (2)−概念構造の構成要因−,人工知能学会誌, Vol.7, No.5, pp.686-696 (1992)
  18. 吉田健一, 元田　浩：推論過程からの概念学習 (1)−類型的推論過程の抽出−，人工知能学会誌, Vol.7, No.5, pp.675-685 (1992)
  19. 吉田健一, 元田　浩：近似に基づく階層的知識表現, 人工知能学会誌，Vol.7, No.1, pp.69-76 (1992)
  20. 鷲尾 隆，北村 豊，高橋 英明：ファジィ積分に基づくプラント内作業の人間信頼性解析, 日本原子力学会誌，Vol.33, No.10, pp.983-993 (1991)
  21. 吉田健一，元田　浩：推論過程から概念を学習するCLIP, 招待論文, 日経インテリジェントシステム別冊　1992年秋号, pp.152-159 (1992)
  22. 元田　浩：エンジニアリングのための大規模知識ベース, 翻訳, 招待論文,コンピュータ科学, Vol.2, No.1, pp.66-75, 秀潤社 (1992)
  23. 元田　浩, 川口敦生：生涯パートナーとしての計算機, コンピュータ科学，Vol. 1, No.2, pp.107-113 (1991)
  24. A. Kawaguchi, H. Motoda and R. Mizoguchi: Interview-Based Knowledge Acquisition using Dynamic Analysis, Invited, IEEE Expert, Vol.6, No. 5,pp.47-60 (1991)
  25. 鷲尾 隆：物理法則に基づく外的駆動型因果性の導出, 人工知能学会誌, Vol.5, No.4, pp.482-491 (1990)
  26. 諏訪正樹, 元田　浩：Frustration-based Learning法による隠喩の理解，人工知能学会誌, Vol.5, No.3, pp.291-299 (1990)
  27. 吉田健一，元田　浩：階層的定性推論のための浅い知識の合成法, 人工知能学会誌, Vol.4, No.7, pp.447-455 (1989)
  28. 諏訪正樹, 元田　浩：初等幾何学の補助線問題におけるフラストレーションに基づく学習, 人工知能学会誌, Vol.4, No.3, pp.308-320 (1989)
  29. 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)
  30. 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)
  31. 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)
  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, 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)
  34. 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)
  35. 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)
  36. 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)
  37. 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)
  38. 元田　浩, 山田直之：システムの機能に関する知識を用いた原子炉異常診断の試み, 計測と制御, Vol.22, No.9, pp.47-52 (1983)
  39. 木口高志, 吉田健一, 元田 浩, 小林節雄：知識工学を適用したプラント運転ガイダンス方式の開発, 日本原子力学会誌, Vol.25, No.4, pp.298-305 (1983)
  40. 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)
  41. 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)
  42. 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)
  43. 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)
  44. 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)
  45. T. Hayase and H. Motoda: Boiling Water Reactor Control Rod Programming Using Heuristic and Mathematical Methods, Nucl. Technol.,Vol.48, pp.91-100 (1980)
  46. 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)
  47. 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)
  48. 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)
  49. 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)
  50. 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)
  51. 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)
  52. 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)
  53. H. Motoda, J. Herczeg and A. Sesonske: Optimization of Refueling Schedule for Light Water Reactors, Nucl. Technol., Vol.25, pp.477-496(1975)
  54. 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)
  55. 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)
  56. 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)
  57. 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)
  58. M. Kitamura and H. Motoda: Burnup Optimization Using Modal ExpansionMethod, J. Nucl. Sci. Technol., Vol.9, pp.512-520 (1972)
  59. 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)
  60. 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)
  61. H. Motoda: Optimal Control Rod Programming of Light Water Reactors inEquilibrium Fuel Cycle, Nucl. Sci. Eng., Vol.46, pp.88-111 (1971)
  62. H. Motoda: Burnup Optimization of Continuous Scattered Refueling, Nucl. Sci. Eng., Vol.41, pp.1-13 (1970)
  63. 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)


国際会議論文［目次に戻る］

1996年度以降

  1. 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)
  2. 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)
  3. 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)
  4. 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)
  5. 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)
  6. 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)
  7. 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)
  8. 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)
  9. 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)
  10. 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)
  11. 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)
  12. 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)
  13. 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)
  14. 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)
  15. 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)
  16. 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).
  17. 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)
  18. 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)
  19. 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)
  20. 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)
  21. 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)
  22. 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)
  23. 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)
  24. 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)
  25. 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)
  26. 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)
  27. 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)
  28. 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)
  29. 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)
  30. 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)
  31. 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)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)
  32. 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)
  33. 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)
  34. 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)
  35. 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)
  36. 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)
  37. 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)
  38. H. Motoda and H. Liu, "Feature Selection, Extraction and Construction'', Invited, Proc. of Foundation of Data Mining, PAKDD02, pp.67-72 (2002)
  39. 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)
  40. 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)
  41. 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)
  42. 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)
  43. 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)
  44. 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)
  45. Takayuki Ikeda, Takashi Washio and Hiroshi Motoda: Basket Analysis on Meningitis Data, Working Notes of JSAI KDD Challenge 2001, JKDD01, pp.33-40 (2001)
  46. M. Dash, H. Liu and H. Motoda, "Consistency Based Feature Selection'', Proc. of the Fourth Pacific-Asia Conference of Knowledge Discovery and Data Mining (PAKDD2000), pp.98-109 (2000)
  47. 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)
  48. 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)
  49. 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)
  50. 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)
  51. 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)
  52. 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)
  53. Akihiro Inokuchi, Takashi Washio and Hiroshi Motoda: An Apriori-Based Algorithm for Mining 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)
  54. 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)
  55. 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)
  56. T. Matsuda, T. Horiuchi, H. Motoda and T. Washio: Consistency Based Feature Selection, Proc. of the Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2000), (2000)
  57. 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)
  58. 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)
  59. 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)
  60. 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)
  61. 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)
  62. 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)
  63. 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)
  64. 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)
  65. 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)
  66. 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)
  67. H. Motoda: Computer Assisted Discovery of First Principle Equations from Numeric Data, Invited Talk, Proc. of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'99), pp.2-2 (1999)
  68. 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)
  69. 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)
  70. 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)
  71. 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)
  72. 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)
  73. 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)
  74. 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)
  75. 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)
  76. T. Washio and H. Motoda: Structured Evaluation Based on Axiomatic Measurement, Working notes of PRESTO "Information and Human Activity" Workshop, pp.14-17 (1998)
  77. 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)
  78. 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, Vol.1, pp.1622-1631 (August 1997)
  79. 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)
  80. 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)
  81. H. Motoda, T. Washio, T. Kayama and K. Yoshida: Extracting Behavioral Patterns from Relational History Data, Proc. of the Workshop on Machine Learning for User Modeling to be held in conjunction with Sixth International Conference on User Modeling, (June 1997)
  82. 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)
  83. 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 (PAKDD'97), pp.169-182 (1997)
  84. 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)
  85. 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)
  86. H. Motoda: Can Machine Learn in the Same Way as Humand Do?, Proc. of the First Interenational Conference on Applied Ergonomics, pp.479-484 (1996)
  87. H. Motoda: Application of Graph-Based Induction to Automated User Modeling, Proc. of Machine Learning meets Human Computer Interaction, pp.1-4 (1996)
  88. 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
  89. 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)
  90. T. Washio and H. Motoda: Discovery of Possible Law Equations by Combined Use of Scale-Based and Data-Driven Reasoning, Working Note of PKAW'96: The Pacific Knowledge Acquisition Workshop, pp.130-149 (October 1996)
  91. 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)
  92. T. Washio, H. Motoda and M. Kitamura: Decision Process Modeling Based on Consensus Among Fuzzy Integral and AHP, Proc. of the 4th International Conference on Soft Computing, Vol.1, pp.308-311 (October 1996)
  93. 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)
  94. 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)
  95. 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)
1996年度以前
  1. 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)
  2. 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)
  3. 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)
  4. K. Yoshida and H. Motoda: Table, Graph and Logic for Induction , Proc. of Machine Intelligence Workshop, Oxford, UK (1995)
  5. 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)
  6. 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)
  7. 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)
  8. A. Kawaguchi, S. Nishioka and H. Motoda: A Flash-Memory Based File System," Proc. of USENIX Techincal Conference, pp.155-164 (1995)
  9. 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)
  10. 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)
  11. 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)
  12. 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)
  13. 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)
  14. 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)
  15. 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)
  16. 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)
  17. 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)
  18. 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)
  19. 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)
  20. 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)
  21. K. Yoshida, H. Motoda and N. Indurkhya: Unifying Learning Methods by Colored Digraphs, Proc. of ALT'93, pp.342-355 (1993)
  22. M. Suwa and H. Motoda: A perceptual criterion for visually controlling learning, Proc. of ALT93, pp.356-369 (1993)
  23. M. Iwayama, N. Indurkhya and H. Motoda: A New Algorithm for Automatic Configuration of Hidden Markov Models, Proc. of ALT'93, pp.237-250 (1993)
  24. 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)
  25. 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)
  26. 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)
  27. 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)
  28. 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)
  29. 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)
  30. 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)
  31. 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)
  32. 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)
  33. 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)
  34. 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)
  35. 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)
  36. 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)
  37. 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)
  38. 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)
  39. 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)
  40. 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)
  41. 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)
  42. 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)
  43. 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)
  44. M. Suwa and H. Motoda: Learning Abductive Strategies from an Example, Invited, Proc. of the Workshop on Empirical Machine Learning, pp.36-43 (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: The Use of Abstract Primitives in Representingthe Meaning of Verbs for Understanding Metaphors , Proc. of ALT91,pp.231-242 (1991)
  47. 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)
  48. 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)
  49. 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)
  50. 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)
  51. 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)
  52. 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)
  53. 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)
  54. K. Yoshida and H. Motoda: Hierarchical Knowledge Representation based on Approximation, Proc. of JKAW-90, pp.345-360 (1990)
  55. K. Yoshida and H. Motoda: Towards Automatic Generation of Hierarchical Knowledge Base, Working Note of the AGAA-90 Workshop,pp.98-109 (1990)
  56. 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)
  57. 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)
  58. 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)
  59. 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)
  60. 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)
  61. 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)
  62. 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)
  63. 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)
  64. 櫻井彰人，元田　浩：数学的帰納法を明示的には使用しない確定節の証明法, Proc. of The Logic Programming Conference '88, pp.29-38 (1988)
  65. 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)
  66. 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)
  67. 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)
  68. 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)
  69. 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)
  70. 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)
  71. 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)
  72. 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)
  73. H. Motoda, N. Yamada and K. Yoshida: A Knowledge Based System for Plant Diagnosis, Proc. of FGCS-84, pp.582-588 (1984)
  74. 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)
  75. 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)
  76. 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)
  77. 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)
  78. 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)
  79. 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)
  80. 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)
  81. 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)
  82. 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)
  83. T. Hayase and H. Motoda: BWR Control Rod Programming Using Heuristic and Mathematical Methods, Trans. Am. Nucl. Soc., Vol.27, pp.727-728(1977)
  84. Y. Nishizawa, T. Kiguchi and H. Motoda: On-Line Core Performance Prediction of BWR, Trans. Am. Nucl. Soc., Vol.22, pp.242-243 (1975)
  85. 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)
  86. 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)
  87. 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)
  88. 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)
  89. 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)


著書［目次に戻る］

  1. S. Tsumoto, T. Yamaguchi, M. Numao and H. Motoda, "Active Mining'', Lecture Notes in Artificial Intelligence 3430, Springer (2005)
  2. 鷲尾　隆: 知識マネジメント, 4.1節，5.1節, IT Text, IPS 情報処理学会編集，大澤幸生編著，オーム社 (2003)
  3. H. Motoda (ed.), "Active Mining - New Directions of Data Mining -'', Frontiers in Artificial INtelligence and Applications, IOS Press (2002)
  4. 鈴木篤之，元田　浩, "システムの設計・運用・評価", 岩波講座現代工学の基礎 (2002)
  5. H. Liu and H. Motoda, "Instance Selection and Construction for Data Mining (Eds.)'', Kluwer Academic Publishers (2001)
  6. 鷲尾　隆: 組織知識管理とデータマイニング, 安全研究「人・社会と巨大技術が構成するシステムの安全学とその実践」，第６章，pp.159-178 (2001)
  7. P.Compton, A. Hoffmann, H. Motoda and T. Yamaguchi, "Proc. of the 6th Pacific Rim Knowledge Acquisition Workshop (PKAW2000) (2000)
  8. 鷲尾　隆，元田　浩：発見科学とデータマイニング: 第２１章　計算機による 科学的法則・モデルの発見方法の展開，bit別冊　発見科学とデータマイニン グ，宮野悟，森下真一編，２１章,pp.207-216 (2000)
  9. H. Motoda, R. Mizoguchi, P. Compton and H. Liu (Eds), "Pacific Rim Knowledge Acquisition Workshop (PKAW98)'' (1998)
  10. S. Arikawa and H. Motoda (Eds.): Discovery Science, Lecture Notes in Artificial Intelligence 1532, Springer (1998)
  11. H. Lee and H. Motoda (Eds.): PRICAI98: Topics in Artificial Intelligence, Lecture Notes in Artificial Intelligence 1531, Springer (1998)
  12. H. Liu and H. Motoda (Eds.): Feature Extraction, Construction and Selection -Data Mining Perspective -, Kluwer Academic Publishers (1998)
  13. H. Liu and H. Motoda: Feature Selection for Knowledge Discovery and Data Mining, Kluwer Academic Publishers (1998)
  14. H. Lu, H. Motoda and H. Liu (Eds.), "KDD: Techniques and Applications'', World Scientific (1997)
  15. 鷲尾　隆：知能工学概論 第２章 エージェント，廣田薫編， 昭晃堂, pp.27-42 (1996)
  16. 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)
  17. 元田　浩：定性物理, 人工知能ハンドブック第４巻２１章（The Handbook of Artificial Intelligence, Edited by A. Barr, P. R. Cohen and Ed. A.Feigenbaum, Addison Wesley, 1989 の訳）, 共立出版, p. 387-484 (1993)
  18. 元田　浩：因果理解, 認知科学ハンドブック第３章, 共立出版, pp.118-127(1991)
  19. H. Motoda: Plant Diagnosis (in English), AI Technology (Chapter 6),Ed. by F. Mizoguchi, Ohmsha, pp.109-147 (1990)
  20. J. A. Bernard and T. Washio: Expert Systems Applications within the Nuclear Industry, American Nuclear Society, La Grange Park IL USA, (1989)
  21. 元田　浩：定性推論による物理システムの理解に向けて, 知識情報シリーズ　定性推論（第１１章）, 溝口文雄編, 共立出版, pp.267-287 (1989)
  22. 元田　浩 他：原子力プラント運転ガイダンスへの応用, ＡＩ総覧（第６章　エキスパート・システム事例　−２　工学分野への応用　第４節）, フジ・テクノシステム／エス・デイ・シー, pp.334-356 (1987)
  23. 元田　浩：プラント診断，ＡＩテクノロジー（第六章）, 溝口文雄編, オーム社, pp.91-117 (1986)


解説［目次に戻る］

  1. 鷲尾　隆: 離散構造データからの完全探索による知識発見, 計測と制御，Vol.44, 2005, pp.307-312 (2005)
  2. 元田　浩，ホーツーバオ，鷲尾　隆，矢田勝俊，吉田哲也，大原剛三: 構造データからのアクティブマイニング, 人工知能学会誌，Vol.20, No.2, pp.172-179 (2005)
  3. 羽室行信，加藤直樹，矢田勝俊，鷲尾隆: 大規模ビジネスデータからの知識発見システム：ＭＵＳＡＳＨＩ, 人工知能学会誌，Vol.20, No.1, pp.59-66 (2005)
  4. 鷲尾　隆: グラフベースデータマイニングの基礎と現状, 情報処理学会誌，Vol.46, No.1, pp.20-26 (2005)
  5. 鷲尾　隆: データマイニング実践家達の声：第１回　データマイニング実用化：概観と展望, 人工知能学会誌, Vol.19., No.3,  pp.373-375 (2003)
  6. 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)
  7. 羽室行信，加藤直樹，矢田勝俊，鷲尾隆: MUSASHIでらくらくデータマイニング, Software Design, 2003,10月号，pp.83-91 (2003)
  8. 元田　浩，沼尾 正行，山口 高平，津本 周作，"アクティブマイニングの構想と展開,'' 人工知能学会誌，Vol.17, No.5, pp.615-621 (2002)
  9. 岡田孝, 元田浩, "相関ルールとその周辺'', オペレーションズ・リサーチ, Vol.47, No.9, pp.565-571 (2002)
  10. 鷲尾　隆: 観測データからの科学法則式の発見, 計測と制御，Vol.41, No.5, pp.319-324 (2002)
  11. 鷲尾　隆: ビジネスにおけるデータマイニングの現在・未来, 情報処理， Vol.42, No.5, pp.467-471 (2001)
  12. 鷲尾　隆: 法則式発見理論での数理モデル, 人工知能学会誌，Vol.16, No.2, Mar., 2001, pp.245-248 (2001)
  13. 鷲尾　隆，元田　浩: 計算機による法則式発見への挑戦, 応用数理，Vol.11, No.1, Mar.,20001, pp.59-62 (2001)
  14. H. Motoda and S. Arikawa, "Special Feature on Discovery Science,'' New Generation Computing, Vol.18, No.1, pp.13-16 (2000)
  15. 元田　浩， "論文特集「発見科学」にあたって,'' 人工知能学会誌，Vol.15, No.4, pp.592-594 (2000)
  16. 鷲尾　隆，元田　浩: 構造データ及び数値データに対する相関ルールマイニングの拡張, 人工知能学会誌, Vol. 15, No. 5, 759-767 (2000)
  17. 元田　浩，鷲尾隆，鈴木英之進，寺野隆雄，津本周造，山口高平: 第４回太平洋アジア地域知識発見とデータマイニング国際会議の報告, 人工知能学会全国大会（第１４回）論文集, pp.84-86 (2000)
  18. 鷲尾　隆: 構造化データに関するマイニング技術の変遷と展望, 人工知能学会全国大会（第１４回）論文集, pp.93-96 (2000)
  19. 鷲尾　隆: 法則式発見理論での数理モデル, 人工知能学会全国大会（第１４回） 論文集, pp.32-33 (2000)
  20. 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)
  21. 元田　浩：論文特集「発見科学」にあたって,''人工知能学会誌，Vol.15, No.4, pp.592-594 (2000)
  22. 元田　浩："「明示的理解に魅せられて」へのコメントと回答，'' 人工知能学会誌，Vol.14, No.5, pp.808-818 (1999)
  23. 元田　浩, "明示的理解に魅せられて，" 人工知能学会誌，Vol.14, No.4, pp.615-625 (1999)
  24. 鷲尾　隆：モデルベース診断，日本原子力学会誌，Vol.40, No.9, pp.664-667 (1998)
  25. 鷲尾　隆，元田　浩：尺度の理論, 日本ファジィ学会誌，Vol.10, No.3, pp.401-413 (1998)
  26. 元田　浩，鷲尾　隆：機械学習とデータマイニング，人工知能学会誌，Vol.12, No.4, pp.505-512 (1997)
  27. R. Mizoguchi and H. Motoda: Expert Systems Research in Japan, Invited, IEEE Expert, Vol.10, No.4, pp.14-23 (1995)
  28. H. Motoda: Book Review: Second Generation Expert System, Edited byJean-Marc David, Jean-Paul Krivine and Raid Simmons, Invited, IEEE Expert, Vol.9, No.2, pp.66-76 (1994)
  29. 鷲尾　隆：人間信頼性へのファジィ積分の応用, 日本ファジィ学会誌, Vol.5, No.5, pp.958-969 (1993)
  30. 元田　浩：知識ベース再利用へのアプローチ - KADSを中心とした欧州における動向 -, 人工知能学会誌、Vol.9, No.1, pp.10-16 (1994)
  31. 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)
  32. 元田　浩, 吉田健一：定性推論の知識獲得への応用，情報処理学会誌, Vol.32, No.2, pp.153-162 (1991)
  33. H. Motoda: Current Status of Expert System Development and RelatedTechnologies in JAPAN, Invited, IEEE Expert, Vol.5, No.4, pp.3-11 (August 1990)
  34. 元田　浩, 吉田健一：定性推論と深い推論, 人工知能学会誌, Vol.4, No.5,pp.538-546 (1989)
  35. 元田　浩：知識情報処理のハードル　- エキスパート・システム -, 電子情報通信学会誌, Vol.72, No.3, pp.265-271 (1989)
  36. 元田　浩：特集「学習と知識獲得技術の新展開」について, 人工知能学会誌, Vol.3, No.6, pp.691-694 (1988)
  37. 石塚　満, 小山照夫, 高木　茂, 辻井潤一, 元田　浩, 上野春樹：パネル討論会　エキスパート・システムの課題, 招待論文, 情報処理, Vol.28, No.2, pp.218-236 (1987)
  38. 元田　浩, 荻野敬迪, 関水浩二, 篠原慶邦, 北村正晴：知識工学と原子力技術, 日本原子力学会誌, Vol.28, NO.9, pp.2-13 (1986)
  39. 元田　浩：知識情報処理のプラント制御への応用, 招待論文, コンピュートロール, Vol.10, pp.147-153 (1985)
  40. 元田　浩：知識による問題解決, 招待論文, 日本原子力学会誌, Vol.26, No.4, pp.271-276 (1984)
  41. 木口高志, 元田　浩：知識工学の原子炉への適用研究例，エネルギーレビュー, Vol.1, pp.7-11 (1984)
  42. 小林康広, 元田　浩：知識工学を売る会社テクノレッジ, 日本機械学会誌, Vol.86, No.780, pp.1300-1301 (1983)
  43. 元田　浩, 木口高志, 小林節雄：知識工学の原子力システムへの応用, システムと制御, Vol.27, No.7, pp.448-454 (1983)
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