Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/67292
Author(s): Francisco Correia
Rui Camacho
João Correia Lopes
Title: An architecture for collaborative data mining
Issue Date: 2010
Abstract: Collaborative 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.
Subject: Ciência de computadores, Engenharia de computadores, Ciências da computação e da informação
Computer science, Computer engineering, Computer and information sciences
Scientific areas: Ciências exactas e naturais::Ciências da computação e da informação
Natural sciences::Computer and information sciences
URI: https://repositorio-aberto.up.pt/handle/10216/67292
Source: KDIR 2010 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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