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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/67770
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dc.contributor.authorBarrera, Junior-
dc.contributor.authorCesar Jr., Roberto M.-
dc.contributor.authorFerreira, João E.-
dc.contributor.authorGubitoso, Marco D.-
dc.date.accessioned2014-05-27T11:21:06Z-
dc.date.accessioned2016-10-25T18:19:40Z-
dc.date.available2014-05-27T11:21:06Z-
dc.date.available2016-10-25T18:19:40Z-
dc.date.issued2004-07-01-
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.issn0010-4825-
dc.identifier.urihttp://hdl.handle.net/11449/67770-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/67770-
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.format.extent427-447-
dc.language.isoeng-
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.typeoutro-
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.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.identifier.doi10.1016/S0010-4825(03)00073-8-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofComputers in Biology and Medicine-
dc.identifier.scopus2-s2.0-2442505054-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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