Foundations of Rule Learning is popular PDF and ePub book, written by Johannes Fürnkranz in 2012-11-06, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Foundations of Rule Learning can be Read Online from any device for your convenience.
Foundations of Rule Learning Book PDF Summary
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 learning, as well as a comprehensive reference to research in the field of inductive rule learning. As such, it targets students, researchers and developers of rule learning algorithms, presenting the fundamental rule learning concepts in sufficient breadth and depth to enable the reader to understand, develop and apply rule learning techniques to real-world data.
Detail Book of Foundations of Rule Learning PDF
- Author : Johannes Fürnkranz
- Release : 06 November 2012
- Publisher : Springer Science & Business Media
- ISBN : 9783540751977
- Genre : Computers
- Total Page : 345 pages
- Language : English
- PDF File Size : 15,8 Mb
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