By Christian Bessiere,Luc De Raedt,Lars Kotthoff,Siegfried Nijssen,Barry O'Sullivan,Dino Pedreschi
A winning integration of constraint programming and knowledge mining has the capability to guide to a brand new ICT paradigm with some distance achieving implications. it may swap the face of information mining and desktop studying, in addition to constraint programming expertise. it should not just enable one to take advantage of info mining thoughts in constraint programming to spot and replace constraints and optimization standards, but additionally to hire constraints and standards in facts mining and laptop studying to be able to observe versions suitable with past wisdom.
This ebook studies on a few key effects got in this built-in and move- disciplinary procedure in the ecu FP7 FET Open venture no. 284715 on “Inductive Constraint Programming” and a couple of linked workshops and Dagstuhl seminars. The ebook is established in 5 elements: history; studying to version; studying to resolve; constraint programming for facts mining; and showcases.
Read or Download Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach (Lecture Notes in Computer Science) PDF
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Additional info 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