Barrera, Junior [UNESP]Cesar Jr., Roberto M. [UNESP]Ferreira, João E.Gubitoso, Marco D.2014-05-272014-05-272004-07-01Computers in Biology and Medicine, v. 34, n. 5, p. 427-447, 2004.0010-4825http://hdl.handle.net/11449/67770This 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.427-447engBioinformaticsDatabasesGene expressionHigh-performance computingKnowledge discoveryMicroarraysPattern recognitionknowledge discoveryWarehouse architecturesBiomedical engineeringComputer architectureDatabase systemsKnowledge acquisitionData mininganalytic methodbioinformaticsbiologycomputer analysisdata analysisdata basegene expressionhumanhuman tissueinformation processing devicemachinemedical informationmedical researchminingpattern recognitionpriority journalsciencetechniqueComputational BiologyGene Expression ProfilingKnowledgeSystems IntegrationArtigo10.1016/S0010-4825(03)00073-8Acesso restrito2-s2.0-2442505054