An environment for knowledge discovery in biology.
This 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.
Barrera
Junior
J
USP Center for Bioinformatics (BIOINFO-USP), University of São Paulo, Rua do Matão, 1010 São Paulo, SP 05508-900, Brazil. jb@ime.usp.br
Cesar
Roberto M
RM
Ferreira
João E
JE
Gubitoso
Marco D
MD
D019295:Computational Biology; D019992:Databases as Topic; D020869:Gene Expression Profiling; D019359:Knowledge; D018511:Systems Integration