Inductive Logic Programming de Nada Lavrač

Inductive Logic Programming: 7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings: Lecture Notes in Computer Science, cartea 1297

Nada Lavrač

Saso Dzeroski

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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Specificații

ISBN-13: 9783540635147
ISBN-10: 3540635149
Pagini: 328
Ilustrații: X, 318 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.46 kg
Ediția:1997
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Cuprins

Knowledge discovery in databases: An overview.- On the complexity of some Inductive Logic Programming problems.- Inductive logic programming and constraint logic programming (abstract).- Learning phonetic rules in a speech recognition system.- Cautious induction in inductive logic programming.- Generating numerical literals during refinement.- Lookahead and discretization in ILP.- Data mining via ILP: The application of Progol to a database of enantioseparations.- Part-of-speech tagging using Progol.- Maximum Entropy modeling with Clausal Constraints.- Mining association rules in multiple relations.- Using logical decision trees for clustering.- Induction of Slovene nominal paradigms.- Normal forms for inductive logic programming.- On a sufficient condition for the existence of most specific hypothesis in progol.- Induction of logic programs with more than one recursive clause by analyzing saturations.- A logical framework for graph theoretical decision tree learning.- Learning with abduction.- Systematic Predicate Invention in Inductive Logic Programming.- Learning programs in the event calculus.- Distance between Herbrand interpretations: A measure for approximations to a target concept.- Realizing Progol by forward reasoning.- Probabilistic first-order classification.- Learning Horn definitions with equivalence and membership queries.- Using abstraction schemata in inductive logic programming.- Distance induction in first order logic.- Carcinogenesis predictions using ILP.- Discovery of first-order regularities in a relational database using ofine candidate determination.- Which hypotheses can be found with inverse entailment?.