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Titlebook: Data Mining and Constraint Programming; Foundations of a Cro Christian Bessiere,Luc De Raedt,Dino Pedreschi Book 2016 Springer Internationa

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書目名稱Data Mining and Constraint Programming
副標(biāo)題Foundations of a Cro
編輯Christian Bessiere,Luc De Raedt,Dino Pedreschi
視頻videohttp://file.papertrans.cn/263/262927/262927.mp4
概述Reports on key results obtained in the field of data mining and constraint programming.Integrated and cross-disciplinary approach.Features state-of-the art research.Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Data Mining and Constraint Programming; Foundations of a Cro Christian Bessiere,Luc De Raedt,Dino Pedreschi Book 2016 Springer Internationa
描述.A 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.?.
出版日期Book 2016
關(guān)鍵詞combinatorial optimization; constraint optimization; constraint solving; inductive logic programming; ma
版次1
doihttps://doi.org/10.1007/978-3-319-50137-6
isbn_softcover978-3-319-50136-9
isbn_ebook978-3-319-50137-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2016
The information of publication is updating

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ICON Loop Carpooling Show Case accepted by the users involved is inferred through Machine Learning mechanisms and put in the CP model. The whole process is reiterated at regular intervals, thus forming an instance of the general ICON loop.
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Book 2016 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 d
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Siba P. Dubey,Charles P. Molumi introduce the concept of generalization query based on an aggregation of variables into types. We propose a generalization algorithm together with several strategies that we incorporate in .. Finally we evaluate our algorithms on some benchmarks.
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