Knowledge discovery and data-mining in biological databases
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Brusic, Vladimir and Zeleznikow, John 
ORCID: 0000-0002-8786-2644 (external link)
(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 | 10.1017/S0269888999003069 (external link) |
| 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 (external link) |
| Download/View statistics | View download statistics for this item |
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