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Knowledge discovery and data mining in biological databases

Published online by Cambridge University Press:  01 September 1999

VLADIMIR BRUSIC  and
JOHN ZELEZNIKOW
VLADIMIR BRUSIC
Affiliation:
Kent Ridge Digital Labs, 21 Heng Mui Keng Terrace, Singapore 119613. Email: vladimir@krdl.org.sg
JOHN ZELEZNIKOW
Affiliation:
School of Computer Science and Computer Engineering, La Trobe University, Bundoora, Victoria, Australia. Email: johnz@latcs1.cs.latrobe.edu.au
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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.

Type
Review Article
Information
The Knowledge Engineering Review , Volume 14 , Issue 3 , September 1999 , pp. 257 - 277
Copyright
© 1999 Cambridge University Press

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