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dc.creatorFrancisco Correia
dc.creatorRui Camacho
dc.creatorJoão Correia Lopes
dc.description.abstractCollaborative Data Mining (CDM) develops techniques to solve complex problems of data analysis requiring sets of experts in different domains that may be geographically separate. An important issue in CDM is the sharing of experience among the different experts. In this paper we report on a framework that enables users with different expertise to perform data analysis activities and profit, in a collaborative fashion, from expertise and results of other researchers. The collaborative process is supported by web services that seek for relevant knowledge available among the collaborative web sites. We have successfully designed and deployed a prototype for collaborative Data Mining in domains of Molecular Biology and Chemoinformatics.
dc.relation.ispartofKDIR 2010 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval
dc.subjectCiência de computadores, Engenharia de computadores, Ciências da computação e da informação
dc.subjectComputer science, Computer engineering, Computer and information sciences
dc.titleAn architecture for collaborative data mining
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.subject.fosCiências exactas e naturais::Ciências da computação e da informação
dc.subject.fosNatural sciences::Computer and information sciences
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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