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.
Author(s): Usama Fayyad (auth.), Nada Lavrač, Sašo Džeroski (eds.)
Series: Lecture Notes in Computer Science 1297 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1997
Language: English
Pages: 318
Tags: Artificial Intelligence (incl. Robotics); Programming Techniques
Knowledge discovery in databases: An overview....Pages 1-16
On the complexity of some Inductive Logic Programming problems....Pages 17-32
Inductive logic programming and constraint logic programming (abstract)....Pages 33-33
Learning phonetic rules in a speech recognition system....Pages 35-44
Cautious induction in inductive logic programming....Pages 45-60
Generating numerical literals during refinement....Pages 61-76
Lookahead and discretization in ILP....Pages 77-84
Data mining via ILP: The application of Progol to a database of enantioseparations....Pages 85-92
Part-of-speech tagging using Progol....Pages 93-108
Maximum Entropy modeling with Clausal Constraints....Pages 109-124
Mining association rules in multiple relations....Pages 125-132
Using logical decision trees for clustering....Pages 133-140
Induction of Slovene nominal paradigms....Pages 141-148
Normal forms for inductive logic programming....Pages 149-156
On a sufficient condition for the existence of most specific hypothesis in progol....Pages 157-164
Induction of logic programs with more than one recursive clause by analyzing saturations....Pages 165-172
A logical framework for graph theoretical decision tree learning....Pages 173-180
Learning with abduction....Pages 181-188
Systematic Predicate Invention in Inductive Logic Programming....Pages 189-204
Learning programs in the event calculus....Pages 205-212
Distance between Herbrand interpretations: A measure for approximations to a target concept....Pages 213-226
Realizing Progol by forward reasoning....Pages 227-234
Probabilistic first-order classification....Pages 235-242
Learning Horn definitions with equivalence and membership queries....Pages 243-255
Using abstraction schemata in inductive logic programming....Pages 256-263
Distance induction in first order logic....Pages 264-272
Carcinogenesis predictions using ILP....Pages 273-287
Discovery of first-order regularities in a relational database using ofine candidate determination....Pages 288-295
Which hypotheses can be found with inverse entailment?....Pages 296-308
