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Inductive Logic Programming

7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings

  • Conference proceedings
  • © 1997

Overview

Editors:
  1. Nada Lavrač
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  2. Sašo Džeroski
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1297)

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

Included in the following conference series:

Conference proceedings info: ILP 1997.

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About this book

This book constitutes the refereed proceedings of the 7th International Workshop on Inductive Logic Programming, ILP-97, held in Prague, Czech Republic, in September 1997.
The volume presents revised versions of nine papers in long version and 17 short papers accepted after a thorough reviewing process. Also included are three invited papers by Usama Fayyad, Jean-Francois Puget, and Georg Gottlob. Among the topics addressed are various logic programming issues, natural language processing, speech processing, abductive learning, data mining, knowledge discovery, and relational database systems.

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Keywords

Table of contents (29 papers)

  1. Front Matter

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  2. Knowledge discovery in databases: An overview

    • Usama Fayyad
    Pages 1-16

  3. On the complexity of some Inductive Logic Programming problems

    • Georg Gottlob, Nicola Leone, Francesco Scarcello
    Pages 17-32

  4. Inductive logic programming and constraint logic programming (abstract)

    • Jean-François Puget
    Pages 33-33

  5. Learning phonetic rules in a speech recognition system

    • Zoltán Alexin, János Csirik, Tibor Gyimóthy, Mark Jelasity, László Tóth
    Pages 35-44

  6. Cautious induction in inductive logic programming

    • Simon Anthony, Alan M. Frisch
    Pages 45-60

  7. Generating numerical literals during refinement

    • Simon Anthony, Alan M. Frisch
    Pages 61-76

  8. Lookahead and discretization in ILP

    • Hendrik Blockeel, Luc De Raedt
    Pages 77-84

  9. Data mining via ILP: The application of Progol to a database of enantioseparations

    • Christopher H. Bryant
    Pages 85-92

  10. Part-of-speech tagging using Progol

    • James Cussens
    Pages 93-108

  11. Maximum Entropy modeling with Clausal Constraints

    • Luc Dehaspe
    Pages 109-124

  12. Mining association rules in multiple relations

    • Luc Dehaspe, Luc De Raedt
    Pages 125-132

  13. Using logical decision trees for clustering

    • Luc De Raedt, Hendrik Blockeel
    Pages 133-140

  14. Induction of Slovene nominal paradigms

    • Sašo Džeroski, Tomaž Erjavec
    Pages 141-148

  15. Normal forms for inductive logic programming

    • Peter A. Flach
    Pages 149-156

  16. On a sufficient condition for the existence of most specific hypothesis in progol

    • Koichi Furukawa, Tomoko Murakami, Ken Ueno, Tomonobu Ozaki, Keiko Shimazu
    Pages 157-164

  17. Induction of logic programs with more than one recursive clause by analyzing saturations

    • Mitsue Furusawa, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh
    Pages 165-172

  18. A logical framework for graph theoretical decision tree learning

    • Peter Geibel, Fritz Wysotzki
    Pages 173-180

  19. Learning with abduction

    • A. C. Kakas, F. Riguzzi
    Pages 181-188

  20. Systematic Predicate Invention in Inductive Logic Programming

    • Lionel Martin, Christel Vrain
    Pages 189-204
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Bibliographic Information

  • Book Title: Inductive Logic Programming

  • Book Subtitle: 7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings

  • Editors: Nada Lavrač, Sašo Džeroski

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-63514-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1997

  • Softcover ISBN: 978-3-540-63514-7Published: 03 September 1997

  • eBook ISBN: 978-3-540-69587-5Published: 05 August 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 318

  • Topics: Computer System Implementation, Artificial Intelligence, Programming Techniques

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