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Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach: 10101 (Lecture Notes in Artificial Intelligence) - Tapa blanda
Sinopsis
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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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 : Foundations of a Cross-Disciplinary Approach
Publicado por
Springer International Publishing, 2016
ISBN 10: 3319501364
ISBN 13: 9783319501369
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Data Mining and Constraint Programming
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Springer International Publishing Dez 2016, 2016
ISBN 10: 3319501364
ISBN 13: 9783319501369
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 364 pp. Englisch. Nº de ref. del artículo: 9783319501369
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Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach (Lecture Notes in Artificial Intelligence)
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Data Mining and Constraint Programming : Foundations of a Cross-Disciplinary Approach
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Springer International Publishing, Springer International Publishing, 2016
ISBN 10: 3319501364
ISBN 13: 9783319501369
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783319501369
Cantidad disponible: 1 disponibles
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Data Mining and Constraint Programming
Publicado por
Springer International Publishing, 2016
ISBN 10: 3319501364
ISBN 13: 9783319501369
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Reports on key results obtained in the field of data mining and constraint programmingIntegrated and cross-disciplinary approach Features state-of-the art researchA successful integration of co. Nº de ref. del artículo: 132702408
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Data Mining and Constraint Programming : Foundations of a Cross-disciplinary Approach
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Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach (Lecture Notes in Computer Science)
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