An environment for knowledge discovery in biology
| Autor: | João Eduardo Ferreira, Roberto M. Cesar, Junior Barrera, Marco Dimas Gubitoso |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
business.industry
Computer science Gene Expression Profiling InformationSystems_DATABASEMANAGEMENT Computational Biology Health Informatics Object (computer science) Machine learning computer.software_genre Supercomputer Knowledge acquisition Computer Science Applications Systems Integration Knowledge Knowledge extraction Databases as Topic Kernel (statistics) Pattern recognition (psychology) Software mining System integration Artificial intelligence Data mining business computer Computer Science::Databases |
| Zdroj: | Computers in biology and medicine. 34(5) |
| ISSN: | 0010-4825 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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