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New Books: Foundations of Rule Learning and Bisociative Knowledge Discovery


Two new books address the foundations, techniques and selected applications of rule learning (selected chapters free) and novel methods for discovering new, domain bridging connections and patterns from heterogeneous data sources (entire book is free).




Foundations of Rule LearningFoundations of Rule Learning

"Foundations of Rule Learning" (Springer 2012, 334 pages), a monograph written by J. Fuernkranz, D. Gamberger and N. Lavrac, presents the foundations, techniques and selected applications of rule learning as investigated in classical machine learning and modern data mining. The monograph can be used as a textbook as well as a comprehensive reference to research in the field. Selected chapters are freely accessible through Springer link at:

link.springer.com/book/10.1007/978-3-540-75197-7/


Bisociative Knowledge DiscoveryBisociative Knowledge Discovery

One of the results of a successful EU FP7 funded project BISON (2008-2011) is an open access book "Bisociative Knowledge Discovery", Springer 2012, edited by M. Berthold. Most of the chapters address novel methods for discovering new, domain bridging connections and patterns from heterogeneous data sources. The entire book is freely accessible through Springer link at:

www.springer.com/computer/ai/book/978-3-642-31829-0.


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