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.
| ISBN: | 9783319501369 |
| Publication date: | 6th December 2016 |
| Author: | Christian Bessiere |
| Publisher: | Springer International Publishing AG |
| Format: | Paperback |
| Pagination: | 349 pages |
| Series: | Lecture Notes in Artificial Intelligence |
| Genres: |
Artificial intelligence Applied computing Computer modelling and simulation Algorithms and data structures Databases Data mining Expert systems / knowledge-based systems |
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.
Data Mining and Constraint Programming features in the following genres: Artificial intelligence, Applied computing, Computer modelling and simulation, Algorithms and data structures, Databases, Data mining, Expert systems / knowledge-based systems
Data Mining and Constraint Programming is available in Paperback
Data Mining and Constraint Programming was written by Christian Bessiere and published by Springer International Publishing AG
Data Mining and Constraint Programming has 349 pages
Yes it is part of Lecture Notes in Artificial Intelligence series
£40.49