Knowledge discovery and data-mining in biological databases

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Brusic, Vladimir and Zeleznikow, John ORCID: 0000-0002-8786-2644 (1999) Knowledge discovery and data-mining in biological databases. The Knowledge Engineering Review, 14 (3). pp. 257-277. ISSN 0269-8889

Abstract

The new technologies for Knowledge Discovery from Databases (KDD) and data mining promise to bring new insights into a voluminous growing amount of biological data. KDD technology is complementary to laboratory experimentation and helps speed up biological research. This article contains an introduction to KDD, a review of data mining tools, and their biological applications. We discuss the domain concepts related to biological data and databases, as well as current KDD and data mining developments in biology.

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Item type	Article
URI	https://vuir.vu.edu.au/id/eprint/15928
DOI	https://doi.org/10.1017/S0269888999003069
Subjects	Historical > Faculty/School/Research Centre/Department > School of Management and Information Systems Historical > FOR Classification > 0806 Information Systems
Keywords	KDD, knowledge discovery from databases, data mining
Citations in Scopus	25 - View on Scopus
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