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Foundations of Rule Learning
Johannes Furnkranz
€ 101.73
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Description for Foundations of Rule Learning
Hardcover. 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. Series: Cognitive Technologies. Num Pages: 334 pages, biography. BIC Classification: UMB; UNF; UYAM; UYQM; UYQP. Category: (P) Professional & Vocational. Dimension: 240 x 161 x 24. Weight in Grams: 666.
Rules - the clearest, most explored and best understood form of knowledge representation - are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning. The book can be used as a textbook for teaching machine ... Read more
Rules - the clearest, most explored and best understood form of knowledge representation - are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning. The book can be used as a textbook for teaching machine ... Read more
Product Details
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
345
Format
Hardback
Publication date
2012
Series
Cognitive Technologies
Condition
New
Weight
665g
Number of Pages
334
Place of Publication
Berlin, Germany
ISBN
9783540751960
SKU
V9783540751960
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Johannes Furnkranz
Prof. Dr. Johannes Furnkranz is a professor of knowledge engineering at the Technische Universitat 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 ... Read more
Reviews for Foundations of Rule Learning
From the reviews: The book presents a comprehensive overview of modern rule learning techniques, providing an introduction to rule learning in machine learning and data mining. ... This complex approach is intended for researchers and developers in the fields of rule learning. (Smaranda Belciug, Zentralblatt MATH, Vol. 1263, 2013) Rule learning ... Read more