Constraint Programming meets Machine Learning and Data Mining (Dagstuhl Seminar 11201)

Authors Luc De Raedt, Siegfried Nijssen, Barry O'Sullivan, Pascal Van Hentenryck and all authors of the abstracts in this report



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Luc De Raedt
Siegfried Nijssen
Barry O'Sullivan
Pascal Van Hentenryck
and all authors of the abstracts in this report

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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.
Keywords
  • Machine learning
  • data mining
  • constraint programming
  • constraints

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