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Knowledge discovery and data-mining in biological databases

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

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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.

Item Type: Article
Uncontrolled Keywords: KDD, knowledge discovery from databases, data mining
Subjects: Faculty/School/Research Centre/Department > School of Management and Information Systems
FOR Classification > 0806 Information Systems
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Depositing User: VUIR
Date Deposited: 22 Nov 2010 04:38
Last Modified: 15 Aug 2011 02:21
URI: http://vuir.vu.edu.au/id/eprint/15928
DOI: https://doi.org/10.1017/S0269888999003069
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Citations in Scopus: 19 - View on Scopus

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