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OverviewA successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications. It could change the face of data mining and machine learning, as well as constraint programming technology. It would not only allow one to use data mining techniques in constraint programming to identify and update constraints and optimization criteria, but also to employ constraints and criteria in data mining and machine learning in order to discover models compatible with prior knowledge. This book reports on some key results obtained on this integrated and cross- disciplinary approach within the European FP7 FET Open project no. 284715 on “Inductive Constraint Programming” and a number of associated workshops and Dagstuhl seminars. The book is structured in five parts: background; learning to model; learning to solve; constraint programming for data mining; and showcases. Full Product DetailsAuthor: Christian Bessiere , Luc De Raedt , Lars Kotthoff , Siegfried NijssenPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 2016 ed. Volume: 10101 Dimensions: Width: 15.50cm , Height: 1.90cm , Length: 23.50cm Weight: 5.504kg ISBN: 9783319501369ISBN 10: 3319501364 Pages: 349 Publication Date: 06 December 2016 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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