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Inductive Logic Programming
This book constitutes the refereed proceedings of the 9th International Conference on Inductive Logic Programming, ILP-99, held in Bled, Slovenia, in June 1999. The 24 revised papers presented were carefully reviewed and selected from 40 submissions. Also included are abstracts of three invited contributions. The papers address all current issues in inductive logic programming and inductive learning, from foundational and methodological issues to applications, e.g. in natural language processing, knowledge discovery, and data mining.
Relational Data Mining
As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field.
Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving
The tenth Portuguese Conference on Arti?cial Intelligence, EPIA 2001 was held in Porto and continued the tradition of previous conferences in the series. It returned to the city in which the ?rst conference took place, about 15 years ago. The conference was organized, as usual, under the auspices of the Portuguese Association for Arti?cial Intelligence (APPIA, http://www.appia.pt). EPIA maintained its international character and continued to provide a forum for p- senting and discussing researc h on di?erent aspects of Arti?cial Intelligence. To promote motivated discussions among participants, this conference streng- ened the role of the thematic workshops. These were not just satellite events, but rather formed an integral part of the conference, with joint sessions when justi?ed. This had the advantage that the work was presented to a motivated audience. This was the ?rst time that EPIA embarked on this experience and so provided us with additional challenges.
Inductive Logic Programming
This book constitutes the strictly refereed post-workshop proceedings of the 6th International Workshop on Inductive Logic Programming, ILP-96, held in Stockholm, Sweden, in August 1996. The 21 full papers were carefully reviewed and selected for inclusion in the book in revised version. Also included is the invited contribution "Inductive logic programming for natural language processing" by Raymond J. Mooney. Among the topics covered are natural language learning, drug design, NMR and ECG analysis, glaucoma diagnosis, efficiency measures for implementations and database interaction, program synthesis, proof encoding and learning in the absence of negative data, and least generalizations under implication ordering.
Introduction to Statistical Relational Learning
In 'Introduction to Statistical Relational Learning', leading researchers in this emerging area of machine learning describe current formalisms, models, and algorithms that enable effective and robust reasoning about richly structured systems and data.
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