Inductive Logic Programming: 7th International Workshop, ILP-97, Prague, Czech Republic, September 17-20, 1997, Proceedings / Edition 1

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Overview

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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Product Details

Table of Contents

Knowledge Discovery in Databases: An Overview 3
On the Complexity of Some Inductive Logic Programming Problems 17
Inductive Logic Programming and Constraint Logic Programming 33
Learning Phonetic Rules in a Speech Recognition System 37
Cautious Induction in Inductive Logic Programming 45
Generating Numerical Literals During Refinement 61
Lookahead and Discretization in ILP 77
Data Mining via ILP : The Application of Progol to a Database of Enantioseparations 85
Part-of-Speech Tagging Using Progol 93
Maximum Entropy Modeling with Clausal Constraints 109
Mining Association Rules in Multiple Relations 125
Using Logical Decision Trees for Clustering 133
Induction of Slovene Nominal Paradigms 141
Normal Forms for Inductive Logic Programming 149
On a Sufficient Condition for the Existence of Most Specific Hypothesis in Progol 157
Induction of Logic Programs with More Than One Recursive Clause by Analyzing Saturations 165
A Logical Framework for Graph Theoretical Decision Tree Learning 173
Learning with Abduction 181
Systematic Predicate Invention in Inductive Logic Programming 189
Learning Programs in the Event Calculus 205
Distance Between Herbrand Interpretations: A Measure for Approximations to a Target Concept 213
Realizing Progol by Forward Reasoning 227
Probabilistic First-Order Classification 235
Learning Horn Definitions with Equivalence and Membership Queries 243
Using Abstraction Schemata in Inductive Logic Programming 256
Distance Induction in First Order Logic 264
Carcinogenesis Predictions Using ILP 273
Discovery of First-Order Regularities in a Relational Database Using Offline Candidate Determination 288
Which Hypotheses Can Be Found with Inverse Entailment? 296
Author Index 309
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