An environment for knowledge discovery in biology

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dc.contributor.authorBarrera, Junior [UNESP]
dc.contributor.authorCesar Jr., Roberto M. [UNESP]
dc.contributor.authorFerreira, João E.
dc.contributor.authorGubitoso, Marco D.
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniv. Catholique de Louvain
dc.contributor.institutionCVRG
dc.contributor.institutionEcl. Natl. Sup. des Telecom.
dc.contributor.institutionGeorgia Tech. Atlanta
dc.contributor.institutionCarnegie Mellon University
dc.contributor.institutionUniversity of Vienna
dc.contributor.institutionGMD-First
dc.date.accessioned2014-05-27T11:21:06Z
dc.date.available2014-05-27T11:21:06Z
dc.date.issued2004-07-01
dc.description.abstractThis paper describes a data mining environment for knowledge discovery in bioinformatics applications. The system has a generic kernel that implements the mining functions to be applied to input primary databases, with a warehouse architecture, of biomedical information. Both supervised and unsupervised classification can be implemented within the kernel and applied to data extracted from the primary database, with the results being suitably stored in a complex object database for knowledge discovery. The kernel also includes a specific high-performance library that allows designing and applying the mining functions in parallel machines. The experimental results obtained by the application of the kernel functions are reported. © 2003 Elsevier Ltd. All rights reserved.en
dc.description.affiliationUSP Center for Bioinformatics University of São Paulo, Rua do Matão, 1010, São Paulo, SP 05508-900
dc.description.affiliationUniversity of São Paulo
dc.description.affiliationDepartment of Computer Science Inst. of Mathematics and Statistics University of São Paulo
dc.description.affiliationBioinformatic Research Center São Paulo State University
dc.description.affiliationUniv. Estadual Paulista - UNESP
dc.description.affiliationUniversidade de Campinas - UNICAMP
dc.description.affiliationInstitute of Physics USP - Univ. de São Paulo, São Carlos
dc.description.affiliationDepartement de Physique Univ. Catholique de Louvain
dc.description.affiliationCVRG, São Carlos
dc.description.affiliationDepartement TSI - Signal-Images Ecl. Natl. Sup. des Telecom., Paris
dc.description.affiliationDepartment of Computer Science IME USP
dc.description.affiliationBIOINFO-USP
dc.description.affiliationDepartment of Computer Science Georgia Tech. Atlanta
dc.description.affiliationInst. de Matemát. e Estat. Universidade de São Paulo
dc.description.affiliationUSP
dc.description.affiliationSchool of Computer Sciences Carnegie Mellon University
dc.description.affiliationUniversity of Vienna
dc.description.affiliationGMD-First
dc.description.affiliationUnespBioinformatic Research Center São Paulo State University
dc.description.affiliationUnespUniv. Estadual Paulista - UNESP
dc.format.extent427-447
dc.identifierhttp://dx.doi.org/10.1016/S0010-4825(03)00073-8
dc.identifier.citationComputers in Biology and Medicine, v. 34, n. 5, p. 427-447, 2004.
dc.identifier.doi10.1016/S0010-4825(03)00073-8
dc.identifier.issn0010-4825
dc.identifier.scopus2-s2.0-2442505054
dc.identifier.urihttp://hdl.handle.net/11449/67770
dc.language.isoeng
dc.relation.ispartofComputers in Biology and Medicine
dc.relation.ispartofjcr2.115
dc.relation.ispartofsjr0,591
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.subjectBioinformatics
dc.subjectDatabases
dc.subjectGene expression
dc.subjectHigh-performance computing
dc.subjectKnowledge discovery
dc.subjectMicroarrays
dc.subjectPattern recognition
dc.subjectknowledge discovery
dc.subjectWarehouse architectures
dc.subjectBiomedical engineering
dc.subjectComputer architecture
dc.subjectDatabase systems
dc.subjectKnowledge acquisition
dc.subjectData mining
dc.subjectanalytic method
dc.subjectbioinformatics
dc.subjectbiology
dc.subjectcomputer analysis
dc.subjectdata analysis
dc.subjectdata base
dc.subjectgene expression
dc.subjecthuman
dc.subjecthuman tissue
dc.subjectinformation processing device
dc.subjectmachine
dc.subjectmedical information
dc.subjectmedical research
dc.subjectmining
dc.subjectpattern recognition
dc.subjectpriority journal
dc.subjectscience
dc.subjecttechnique
dc.subjectComputational Biology
dc.subjectGene Expression Profiling
dc.subjectKnowledge
dc.subjectSystems Integration
dc.titleAn environment for knowledge discovery in biologyen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy

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