Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach (1st ed. 2016) (Lecture Notes in Computer Science #10101)
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- Synopsis
- 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.
- Copyright:
- 2016
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783319501376
- Related ISBNs:
- 9783319501369
- Publisher:
- Springer International Publishing
- Date of Addition:
- 03/08/24
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Christian Bessiere
- Edited by:
- Luc De Raedt
- Edited by:
- Lars Kotthoff
- Edited by:
- Siegfried Nijssen
- Edited by:
- Barry O'Sullivan
- Edited by:
- Dino Pedreschi