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Foundations of Rule Learning (Cognitive Technologies)

Johannes Fürnkranz, Dragan Gamberger, Nada Lavrač




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 | #4069651 in Books |  Springer Berlin Heidelberg |  2012-11-07 | Original language:English | PDF # 1 |  9.21 x.81 x6.14l,1.48 | File type: PDF | 334 pages

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|| ||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 i

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...

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