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Type	Conference or Workshop Paper
Scope	Discipline-based scholarship
Published in Proceedings	Yes
Title	Meta-learning with kernels and similarity functions for planning of data mining workﬂows
Organization Unit	Dynamic and Distributed Information Systems (Abraham Bernstein)
Authors	A Kalousis Abraham Bernstein M Hilario
Presentation Type	paper
Item Subtype	Original Work
Refereed	Yes
Status	Published in final form
Language	English
Page Range	23 - 28
Event Title	ICML/COLT/UAI 2008, Planing to Learn Workshop (PlanLearn)
Event Type	workshop
Event Location	Helsinki, Finnland
Event Start Date	July 9 - 2008
Event End Date	July 9 - 2008
Abstract Text	We propose an intelligent data mining (DM) assistant that will combine planning and meta-learning to provide support to users of virtual DM laboratory. A knowledge-driven planner will rely on a data mining ontology to plan the knowledge discovery workﬂow and determine the set of valid operators for each step of this workﬂow. A probabilistic meta-learner will select the most appropriate operators by using relational similarity measures and kernel functions over records of past sessions meta-data stored in a DM experiments repository.
Official URL	http://www.ifi.uzh.ch/ddis/events/planlearn08/
Related URLs	http://icml2008.cs.helsinki.fi/workshops.shtml http://www.hiit.fi/events/csi-ui http://www.ifi.uzh.ch/pax/web/index.php/publication/show/id/818
Other Identification Number	merlin-id:298
PDF File	Download from ZORA
Export	BibTeX EP3 XML (ZORA)
Additional Information	The paper is published in Proceedings of the Second Planning to Learn Workshop (PlanLearn) at ICML/COLT/UAI 2008, which was part of the joint ICML, UAI and COLT workshops, 9 July 2008, University of Helsinki.