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Constraint Programming meets Machine Learning and Data Mining (Dagstuhl Seminar 11201) De Raedt, Luc Nijssen, Siegfried O'Sullivan, Barry Van Hentenryck, Pascal Machine learning data mining constraint programming constraints This report documents the programme and the outcomes of Dagstuhl Seminar 11201 "Constraint Programming meets Machine Learning and Data Mining". Our starting point in this seminar was that machine learning and data mining have developed largely independently from constraint programming till now, but that it is increasingly becoming clear that there are many opportunities for interactions between these areas: on the one hand, data mining and machine learning can be used to improve constraint solving; on the other hand, constraint solving can be used in data mining in machine learning. This seminar brought together prominent researchers from both communities to discuss these opportunities. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Luc De Raedt and Siegfried Nijssen and Barry O'Sullivan and Pascal Van Hentenryck 2011 Is Part Of Dagstuhl Reports, Volume 1, Issue 5 (2011) Article Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagRep.1.5.61 urn:nbn:de:0030-drops-32077 https://drops.dagstuhl.de/entities/document/10.4230/DagRep.1.5.61 eng https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode