Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach: 10101 (Lecture Notes in Artificial Intelligence) - Softcover

 
9783319501369: Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach: 10101 (Lecture Notes in Artificial Intelligence)
Softcover
ISBN 10: 3319501364 ISBN 13: 9783319501369
Verlag: Springer, 2016

Inhaltsangabe

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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Reseña del editor

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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Verlag
Springer
Erscheinungsdatum
2016
Sprache
Englisch
ISBN 10 
3319501364
ISBN 13 
9783319501369
Einband
Tapa blanda
Anzahl der Seiten
364
Herausgeber
Bessiere Christian, De Raedt Luc, Kotthoff Lars, Nijssen Siegfried, O'Sullivan Barry, Pedreschi Dino
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