Foundations of Rule Learning : Essentials of Machine Learning and Relational Data Mining

Furnkranz, Johannes; Gamberger, Dragan; Lavrac, Nada

ISBN 10: 3540751963 / ISBN 13: 9783540751960

Edité par Springer, 2012

A propos de cet article

N° de réf. du vendeur 17848226-n

Détails bibliographiques

• Titre: Foundations of Rule Learning : Essentials of Machine Learning and Relational Data Mining
• Éditeur: Springer
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 3540751963
• ISBN à 13 chiffres: 9783540751960
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

This book reviews the basics of rule learning as applied to classical machine learning and modern data mining. It connects attribute-value learning with inductive logic programming, and offers complete coverage of most important elements of rule learning.

À propos de l?auteur

Prof. Dr. Johannes Fürnkranz is a professor of knowledge engineering at the Technische Universität Darmstadt. He has chaired and served on the boards of the main journals and conferences in this field. His research interests include inductive rule learning, preference learning, game playing, web mining, and data mining in social science.

Dr. Dragan Gamberger heads the Laboratory for Information Systems at the Rudjer Boskovic Institute in Zagreb. He has chaired the main related conference ECML/PKDD, and is a coauthor of the publicly available Data Mining Server. His research interests include data mining and the medical applications of descriptive rule induction.

Prof. Dr. Nada Lavrač heads the Department of Knowledge Technologies at the Jozef Stefan Institute in Ljubljana. She is the author and editor of several books and proceedings in the field of data mining and machine learning, and she has chaired or served on the boards of the main related journals and conferences. Her research interests include machine learning, data mining, and inductive logic programming, and related applications in medicine, public health, bioinformatics, and the management of virtual enterprises. In 1997 she was awarded the Ambassador of Science of Slovenia prize, and in 2007 she was elected as an ECCAI Fellow.