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Inductive Logic Programming

12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Stan Matwin

    1. School of Information Technology and Engineering, University of Ottawa, Ottawa, Canada

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    You can also search for this editor in PubMed   Google Scholar

  2. Claude Sammut

    1. School of Computer Science and Engineering, University of New South Wales, Sydney, Australia

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2583)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ILP 2002.

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Table of contents (23 papers)

  1. Front Matter

    Pages I-X
    Download chapter PDF

  2. Contributed Papers

    1. Propositionalization for Clustering Symbolic Relational Descriptions

      • Isabelle Bournaud, Mélanie Courtine, Jean-Daniel Zucker
      Pages 1-16

    2. Efficient and Effective Induction of First Order Decision Lists

      • Mary Elaine Califf
      Pages 17-31

    3. Learning with Feature Description Logics

      • Chad M. Cumby, Dan Roth
      Pages 32-47

    4. An Empirical Evaluation of Bagging in Inductive Logic Programming

      • Inês de Castro Dutra, David Page, Vítor Santos Costa, Jude Shavlik
      Pages 48-65

    5. Kernels for Structured Data

      • Thomas Gärtner, John W. Lloyd, Peter A. Flach
      Pages 66-83

    6. Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems

      • Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook
      Pages 84-100

    7. Autocorrelation and Linkage Cause Bias in Evaluation of Relational Learners

      • David Jensen, Jennifer Neville
      Pages 101-116

    8. Learnability of Description Logic Programs

      • Jörg-Uwe Kietz
      Pages 117-132

    9. 1BC2: A True First-Order Bayesian Classifier

      • Nicolas Lachiche, Peter A. Flach
      Pages 133-148

    10. RSD: Relational Subgroup Discovery through First-Order Feature Construction

      • Nada Lavrač, Filip Železný, Peter A. Flach
      Pages 149-165

    11. Mining Frequent Logical Sequences with SPIRIT-LoG

      • Cyrille Masson, François Jacquenet
      Pages 166-182

    12. Using Theory Completion to Learn a Robot Navigation Control Program

      • Steve Moyle
      Pages 182-197

    13. Learning Structure and Parameters of Stochastic Logic Programs

      • Stephen Muggleton
      Pages 198-206

    14. A Novel Approach to Machine Discovery: Genetic Programming and Stochastic Grammars

      • Alain Ratle, Michèle Sebag
      Pages 207-222

    15. Revision of First-Order Bayesian Classifiers

      • Kate Revoredo, Gerson Zaverucha
      Pages 223-237

    16. The Applicability to ILP of Results Concerning the Ordering of Binomial Populations

      • Ashwin Srinivasan
      Pages 238-253

    17. Compact Representation of Knowledge Bases in ILP

      • Jan Struyf, Jan Ramon, Hendrik Blockeel
      Pages 254-269

    18. A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data

      • Yusuke Suzuki, Kohtaro Inomae, Takayoshi Shoudai, Tetsuhiro Miyahara, Tomoyuki Uchida
      Pages 270-284

    19. A Genetic Algorithms Approach to ILP

      • Alireza Tamaddoni-Nezhad, Stephen Muggleton
      Pages 285-300
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About this book

The Twelfth International Conference on Inductive Logic Programming was held in Sydney, Australia, July 9–11, 2002. The conference was colocated with two other events, the Nineteenth International Conference on Machine Learning (ICML2002) and the Fifteenth Annual Conference on Computational Learning Theory (COLT2002). Startedin1991,InductiveLogicProgrammingistheleadingannualforumfor researchers working in Inductive Logic Programming and Relational Learning. Continuing a series of international conferences devoted to Inductive Logic Programming and Relational Learning, ILP 2002 was the central event in 2002 for researchers interested in learning relational knowledge from examples. The Program Committee, following a resolution of the Community Me- ing in Strasbourg in September 2001, took upon itself the issue of the possible change of the name of the conference. Following an extended e-mail discussion, a number of proposed names were subjected to a vote. In the ?rst stage of the vote, two names were retained for the second vote. The two names were: Ind- tive Logic Programming, and Relational Learning. It had been decided that a 60% vote would be needed to change the name; the result of the vote was 57% in favor of the name Relational Learning. Consequently, the name Inductive Logic Programming was kept.

Editors and Affiliations

  • School of Information Technology and Engineering, University of Ottawa, Ottawa, Canada

    Stan Matwin

  • School of Computer Science and Engineering, University of New South Wales, Sydney, Australia

    Claude Sammut

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