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Lecture Notes in Artificial Intelligence

Data Mining and Constraint Programming

Foundations of a Cross-Disciplinary Approach

Editors: Bessiere, C., De Raedt, L., Kotthoff, L., Nijssen, S., O'Sullivan, B., Pedreschi, D. (Eds.)

  • Reports on key results obtained in the field of data mining and constraint programming
  • Integrated and cross-disciplinary approach 
  • Features state-of-the art research
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eBook $64.99
price for USA (gross)
  • ISBN 978-3-319-50137-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $84.00
price for USA
  • ISBN 978-3-319-50136-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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. 

Table of contents (15 chapters)

  • Introduction to Combinatorial Optimisation in Numberjack

    Hurley, Barry (et al.)

    Pages 3-24

  • Data Mining and Constraints: An Overview

    Grossi, Valerio (et al.)

    Pages 25-48

  • New Approaches to Constraint Acquisition

    Bessiere, Christian (et al.)

    Pages 51-76

  • ModelSeeker: Extracting Global Constraint Models from Positive Examples

    Beldiceanu, Nicolas (et al.)

    Pages 77-95

  • Learning Constraint Satisfaction Problems: An ILP Perspective

    Raedt, Luc (et al.)

    Pages 96-112

Buy this book

eBook $64.99
price for USA (gross)
  • ISBN 978-3-319-50137-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $84.00
price for USA
  • ISBN 978-3-319-50136-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Data Mining and Constraint Programming
Book Subtitle
Foundations of a Cross-Disciplinary Approach
Editors
  • Christian Bessiere
  • Luc De Raedt
  • Lars Kotthoff
  • Siegfried Nijssen
  • Barry O'Sullivan
  • Dino Pedreschi
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
10101
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-50137-6
DOI
10.1007/978-3-319-50137-6
Softcover ISBN
978-3-319-50136-9
Edition Number
1
Number of Pages
XII, 349
Number of Illustrations and Tables
73 b/w illustrations
Topics