ICDM2002 WORKSHOP
International Workshop on Active Mining (AM-2002)
In ICDM2002: The 2002 IEEE International Conference On Data Mining
Maebashi TERRSA, Maebashi City, Japan

Program


9:20 Opening Speech (Prof. Hiroshi Motoda, Osaka University)


Session Chair (Prof. Takashi Washio, Osaka University)
9:30-10:30 Invited Talk
On Molecular Feature Mining and Inductive Databases
Luc De Raedt, Christoph Helma, Stefan Kramer, Sau Dan Lee
Institute fur Informatik, University of Freiburg

10:30-11:30 Invited Talk
Computational Scientific Discovery and Inductive Databases
Saso Dzeroski
Department of Intelligent Systems, Jozef Stefan Institute


Session Chair (Prof. Masayuki Numao, Tokyo Institute of Technology)
11:30-12:48 Poster Session Part 1: Short Summary Presentations (3min for each)

11:30-11:32
Development of Generic Search Method Based on Transformation Invariance
Fuminori Adachi(1), Takashi Washio(1),
Hiroshi Motoda(1) and Hidemitsu Hanafusa(2)
I.S.I.R.,OsakaUniversity(1), INSS Inc.(2)

11:33-11:35
Information Extraction for On-line Job Advertisements
Kwok-Chung Au and Kwok-Wai Cheung
Department of Computer Science, Hong Kong Baptist University

11:36-11:38
Distributed Task Assignment for Information Gathering
Katsutoshi Hirayama(1) and Yasuhiko Kitamura(2)
Kobe University of Mercantile Marine(1),
Graduate School of Engineering, Osaka City University(2)

11:39-11:41
A Novel Incremental SVM Learning Algorithm
Ma Jian(1) and Zeng Wenhua(2)
Hangzhou Institute of Electronics Engineering(1),
Hangzhou, Xiamen University(2)

11:42-11:44
Mathematical and Simulation Model of
Fault Tolerance Distributed Database Systems
Maciej Kiedrowicz
Cybernetics Department, Military University of Technology

11:45-11:47
Discovered Rule Filtering Using Information Retrieval Technique
Yasuhiko Kitamura(1), Keunsik Park(2),
Akira Iida(1), and Shoji Tatsumi(1)
(1)Graduate School of Engineering,
(2)Graduate School of Medicine, Osaka City University

11:48-11:50
Defect Classification Based on Association and Clustering
Iivari Kunttu(1), Leena Lepisto(1),
Juhani Rauhamaa(2), and Ari Visa(1)
(1)Institute of Signal Processing, Tampere University of Technology
(2)Paper, Printing, Metals & Minerals Automation, ABB Oy

11:51-11:53
Mining Knowledge from Hepatitis Data with Temporal Abstraction
Trong Dung Nguyen, Tu Bao Ho, Duc Dung Nguyen, Saori Kawasaki
Japan Advanced Institute of Science and Technology

11:54-11:56
A Rule Discovery Supp ort System for Sequential Medical Data
- In the Case Study of a Chronic Hepatitis Dataset -
Miho Ohsaki(1), Yoshinori Sato(2),
Hideto Yokoi(3), Takahira Yamaguchi(1)
Faculty of Information, Shizuoka University(1),
Graduate School of Information, Shizuoka University(2),
Department of Medical Informatics, Chiba University Hospital(3)

11:57-11:59
Active User's Response: Lessons from the Structure-Activity
Relationship Analysis of Dopamine Antagonists
Takashi Okada
Center for Information & Media Studies, Kwansei Gakuin University

12:00-12:02
Extracting Geographical Knowledge from the Internet
Ourioupina Olga
Saarland University

12:03-12:05
VDL: A Language for Active Mining Variants of Association Rules
Kok-Leong Ong, Wee-Keong Ng, Ee-Peng Lim
Nanyang Technological University

12:06-12:08
CrystalClear: Active Visualization of Association Rules
Hian-Huat Ong, Kok-Leong Ong, Wee-Keong Ng and Ee-Peng Lim
Nanyang Technological University

12:09-12:11
Interactive Document Retrieval with Active Learning
Takashi Onoda and Hiroshi Murata
Central Research Institute of Electric Power Industry
Seiji Yamada
National Institute of Informatics

12:12-12:14
Chemical Data Mining Based on Structural Similarity
Yoshimasa Takahashi, Satoshi Fujishima and Kyoko Yokoe
Department of Knowledge-based Information Engineering,
Toyohashi University of Technology

12:15-12:17
Mining Hepatitis Data Set Using Information Gathered
from Biomedical Literature
Tuan Nam Tran(1), Ryutaro Ichise(2) and Masayuki Numao(1)
(1)Department of Computer Science, Tokyo Institute of Technology,
(2)Knowledge Systems Research, National Institute of Informatics

12:18-14:00 Poster Session Part 2: Poster Presentations (with Lunch)


Session Chair (Prof. Takashi Washio, Osaka University)
14:00-15:00 Invited Talk
Active Learning Approaches For Scaling Up Discovery Algorithms
Stefan Wrobel
Fraunhofer AiS and University of Bonn

15:00-15:15 Coffee Break

Session Chair (Prof. Takahira Yamaguchi, Shizuoka University)
15:15-15:40 Oral Presentation
Relational Ranking with Predictive Clustering Trees
Saso Dzeroski(1), Ljupco Todorovski(1) and Hendrik Blockeel(2)
(1)Department of Intelligent Systems, Jozef Stefan Institute,
(2)Department of Computer Science, Katholieke Universiteit Leuven

15:40-16:05 Oral Presentation
Visualizing the Interestingness of Data Mining Results
Characterized by Vectors of Probability Distributions
Robert J. Hilderman
Department of Computer Science, University of Regina

16:05-16:30 Oral Presentation
General Framework for Mining Frequent Structures in Graphs
Akihiro Inokuchi(1), Takashi Washio(2),
Yoshio Nishimura(2) and Hiroshi Motoda(2)
(1)Tokyo Research Laboratory, IBM Japan,
(2)I.S.I.R., Osaka University


16:30-16:45 Coffee Break


Session Chair (Prof. Yasuhiko Kitamura, Osaka City University)
16:45-17:10 Oral Presentation
Kernels for Graph Classification
Hisashi Kashima and Akihiro Inokuchi
Tokyo Research Laboratory, IBM Japan

17:10-17:35 Oral Presentation
Active Mining from Hepatitis Data by Beam-wise GBI
Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda and Takashi Washio
I.S.I.R., Osaka University

17:35-18:00 Oral Presentation
Prototyping Medical Test Results in Chronic Hepatitis Data
with the EM Algorithm on Multi-Dice Models
Takeshi Watanabe(1), Einoshin Suzuki(1),
Hideto Yokoi(2) and Katsuhiko Takabayashi(2)
(1)Electrical and Computer Engineering, Yokohama National University,
(2)Division for Medical Informatics, Chiba-University Hospital


18:00 Closing Remark and Business Meeting (Prof. Hiroshi Motoda, Osaka University)