Data Mining and Constraint Programming

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

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer International Publishing AG

Dostupnost: Skladem u dodavatele

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

Informace o knize

Autor

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

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2016

Stránek

349

EAN

9783319501369

ISBN

3319501364

Enbook ID

15358994

Vydavatel

Springer International Publishing AG

Hmotnost

5504

Rozměry

155 x 235 x 21

Kompletní popis

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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