Inductive Logic Programming: 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001. Proceedings: 2157 (Lecture Notes in Artificial Intelligence) - Softcover

Sebag, Michele; Rouveirol, Celine

Softcover

ISBN 10: 3540425381 ISBN 13: 9783540425380

Verlag: Springer, 2008

Inhaltsangabe

The 11th international conference on Inductive Logic Programming, ILP2001, was held in Strasbourg, France, September 9-11, 2001. ILP2001 was co-located withthe3rdinternationalworkshoponLogic,Learning,andLanguage(LLL2001), and nearly co-located with the joint 12th European Conference on Machine Learning (ECML2001) and 5th European conference on Principles and Practice of Knowledge Discovery in Databases (PKDD2001). Continuing a series of international conferences devoted to Inductive Logic Programming and Relational Learning, ILP2001 is the central annual event for researchersinterestedinlearningstructuredknowledgefromstructuredexamples and background knowledge. One recent one major challenge for ILP has been to contribute to the ex- nentialemergenceofDataMining,andtoaddressthehandlingofmulti-relational databases. On the one hand, ILP has developed a body of theoretical results and algorithmicstrategiesforexploringrelationaldata,essentiallybutnotexclusively from a supervised learning viewpoint. These results are directly relevant to an e?cient exploration of multi-relational databases. Ontheotherhand,DataMiningmightrequirespeci?crelationalstrategiesto be developed, especially with regard to the scalability issue. The near-colocation of ILP2001 with ECML2001-PKDD2001 was an incentive to increase cro- fertilization between the ILP relational savoir-faire and the new problems and learning goals addressed and to be addressed in Data Mining. Thirty-seven papers were submitted to ILP, among which twenty-one were selected and appear in these proceedings. Several - non-disjoint - trends can be observed, along an admittedly subjective clustering. On the theoretical side, a new mode of inference is proposed by K. Inoue, analog to the open-ended mode of Bayesian reasoning (where the frontier - tween induction and abduction wanes). New learning re?nement operators are proposed by L. Badea, while R. Otero investigates negation-handling settings.

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Reseña del editor

This book constitutes the refereed proceedings of the 11th International Conference on Inductive Logic Programming, ILP 2001, held in Strasbourg, France in September 2001.
The 21 revised full papers presented were carefully reviewed and selected from 37 submissions. Among the topics addressed are data mining issues for multi-relational databases, supervised learning, inductive inference, Bayesian reasoning, learning refinement operators, neural network learning, constraint satisfaction, genetic algorithms, statistical machine learning, transductive inference, etc.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2008
• ISBN 10: 3540425381
• ISBN 13: 9783540425380
• Einband: Tapa blanda
• Sprache: Englisch
• Anzahl der Seiten: 272
• Kontakt zum Hersteller: Nicht verfügbar