01549nas a2200157   4500008004100000245009100041210006900132520094400201100002401145700001801169700001901187700002301206700002201229700002001251856012001271       2016                        eng d00aData Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach.0 aData Mining and Constraint Programming Foundations of a CrossDis3 aA 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. 1 aBessiere, Christian1 aDe Raedt, Luc1 aKotthoff, Lars1 aNijssen, Siegfried1 aO'Sullivan, Barry1 aPedreschi, Dino  uhttps://kdd.isti.cnr.it/publications/data-mining-and-constraint-programming-foundations-cross-disciplinary-approach