DagRep.1.5.61.pdf
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Constraint Programming meets Machine Learning and Data Mining (Dagstuhl Seminar 11201)
Authors and all authors of the abstracts in this report
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Issue:
Dagstuhl Reports, Volume 1, Issue 5
Volume: Dagstuhl Reports, Volume 1
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license
- Publication Date: 2011-09-13
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Luc De Raedt, Siegfried Nijssen, Barry O'Sullivan, and Pascal Van Hentenryck. Constraint Programming meets Machine Learning and Data Mining (Dagstuhl Seminar 11201). In Dagstuhl Reports, Volume 1, Issue 5, pp. 61-83, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
https://doi.org/10.4230/DagRep.1.5.61
Abstract
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.
Subject Classification
Keywords
- Machine learning
- data mining
- constraint programming
- constraints
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