Data Mining and Constraint Programming

Autor: Christian Bessiere, Luc De Raedt, Lars Kotthoff, Siegfried Nijssen, Barry O'Sullivan, Dino Pedreschi

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Editura: Springer International Publishing AG

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A successful integration of constraint programming and data mining has the potential to lead to a ne...

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Autor

Christian Bessiere, Luc De Raedt, Lars Kotthoff, Siegfried Nijssen, Barry O'Sullivan, Dino Pedreschi

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2016

Pagini

349

EAN

9783319501369

ISBN

3319501364

Enbook ID

15358994

Editura

Springer International Publishing AG

Greutate

5504

Dimensiuni

155 x 235 x 21

Descriere completă

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.

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Data Mining and Constraint Programming

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