By Christian Bessiere,Luc De Raedt,Lars Kotthoff,Siegfried Nijssen,Barry O'Sullivan,Dino Pedreschi
A profitable integration of constraint programming and information mining has the aptitude to guide to a brand new ICT paradigm with a long way attaining implications. it might probably switch the face of knowledge mining and computing device studying, in addition to constraint programming know-how. it'll not just enable one to exploit facts mining thoughts in constraint programming to spot and replace constraints and optimization standards, but in addition to hire constraints and standards in information mining and desktop studying with a view to become aware of versions appropriate with past wisdom.
This publication studies on a few key effects received in this built-in and move- disciplinary strategy in the eu FP7 FET Open venture no. 284715 on “Inductive Constraint Programming” and a few linked workshops and Dagstuhl seminars. The ebook is dependent in 5 components: heritage; studying to version; studying to unravel; constraint programming for facts mining; and showcases.
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Extra resources for Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach (Lecture Notes in Computer Science)
Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach (Lecture Notes in Computer Science) by Christian Bessiere,Luc De Raedt,Lars Kotthoff,Siegfried Nijssen,Barry O'Sullivan,Dino Pedreschi