Knowledge discovery and data-mining in biological databases

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Brusic, Vladimir and Zeleznikow, John (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 20 - View on Scopus
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