Active Mining

Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003. Revised Selected Papers

  • Shusaku Tsumoto
  • Takahira Yamaguchi
  • Masayuki Numao
  • Hiroshi Motoda
Conference proceedings
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3430)

Table of contents

  1. Front Matter
    PDF

  2. Overview

    1. Active Mining Project: Overview
      Shusaku Tsumoto, Takahira Yamaguchi, Masayuki Numao, Hiroshi Motoda
      Pages 1-10

  3. Tutorial Papers

    1. Computational and Statistical Methods in Bioinformatics
      Tatsuya Akutsu
      Pages 11-33
    2. Indexing and Mining Audiovisual Data
      Pierre Morizet-Mahoudeaux, Bruno Bachimont
      Pages 34-58

  4. Active Information Collection

    1. Relevance Feedback Document Retrieval Using Support Vector Machines
      Takashi Onoda, Hiroshi Murata, Seiji Yamada
      Pages 59-73
    2. Micro View and Macro View Approaches to Discovered Rule Filtering
      Yasuhiko Kitamura, Akira Iida, Keunsik Park
      Pages 74-91
    3. Mining Chemical Compound Structure Data Using Inductive Logic Programming
      Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numao, Takashi Okada
      Pages 92-111
    4. First-Order Rule Mining by Using Graphs Created from Temporal Medical Data
      Ryutaro Ichise, Masayuki Numao
      Pages 112-125

  5. Active Data Mining

    1. Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction
      Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, Takashi Washio, Hideto Yokoi et al.
      Pages 126-151
    2. Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI
      Katsutoshi Yada, Yukinobu Hamuro, Naoki Katoh, Takashi Washio, Issey Fusamoto, Daisuke Fujishima et al.
      Pages 152-173
    3. Investigation of Rule Interestingness in Medical Data Mining
      Miho Ohsaki, Shinya Kitaguchi, Hideto Yokoi, Takahira Yamaguchi
      Pages 174-189
    4. Experimental Evaluation of Time-Series Decision Tree
      Yuu Yamada, Einoshin Suzuki, Hideto Yokoi, Katsuhiko Takabayashi
      Pages 190-209
    5. Spiral Multi-aspect Hepatitis Data Mining
      Muneaki Ohshima, Tomohiro Okuno, Yasuo Fujita, Ning Zhong, Juzhen Dong, Hideto Yokoi
      Pages 210-235
    6. Sentence Role Identification in Medline Abstracts: Training Classifier with Structured Abstracts
      Masashi Shimbo, Takahiro Yamasaki, Yuji Matsumoto
      Pages 236-254
    7. CHASE2 – Rule Based Chase Algorithm for Information Systems of Type λ
      Agnieszka Dardzińska, Zbigniew W. Raś
      Pages 255-267

  6. Active User Reaction

    1. Empirical Comparison of Clustering Methods for Long Time-Series Databases
      Shoji Hirano, Shusaku Tsumoto
      Pages 268-286
    2. Spiral Mining Using Attributes from 3D Molecular Structures
      Takashi Okada, Masumi Yamakawa, Hirotaka Niitsuma
      Pages 287-302
    3. Classification of Pharmacological Activity of Drugs Using Support Vector Machine
      Yoshimasa Takahashi, Katsumi Nishikoori, Satoshi Fujishima
      Pages 303-311
    4. Cooperative Scenario Mining from Blood Test Data of Hepatitis B and C
      Yukio Ohsawa, Hajime Fujie, Akio Saiura, Naoaki Okazaki, Naohiro Matsumura
      Pages 312-335
    5. Integrated Mining for Cancer Incidence Factors from Healthcare Data
      Xiaolong Zhang, Tetsuo Narita
      Pages 336-347

About these proceedings

Keywords

active mining algorithms bioinformatics biomedical data mining clustering data mining databases decision trees graph-based induction inductive logic programming information system knowledge discovery rule filtering rule mining support vector machines

Editors and affiliations

  • Shusaku Tsumoto
    • 1
  • Takahira Yamaguchi
    • 2
  • Masayuki Numao
    • 3
  • Hiroshi Motoda
    • 4
  1. 1.Shimane UniversityShimaneJapan
  2. 2.Faculty of Science and TechnologyKeio UniversityYokohamaJapan
  3. 3.The Institute of Scientific and Industrial ResearchOsaka UniversityJapan
  4. 4.Institute of Scientific and Industrial ResearchOsaka UniversityOsakaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/b136140
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-26157-5
  • Online ISBN 978-3-540-31933-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book