Knowledge discovery and data mining in biological databases

Vladimir Brusic, John Zeleznikow

Research output: Contribution to journalArticle

19 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)257-277
Number of pages21
JournalKnowledge Engineering Review
Volume14
Issue number3
Publication statusPublished - Sep 1999
Externally publishedYes

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Data mining

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence

Cite this

Knowledge discovery and data mining in biological databases. / Brusic, Vladimir; Zeleznikow, John.

In: Knowledge Engineering Review, Vol. 14, No. 3, 09.1999, p. 257-277.

Research output: Contribution to journalArticle

Brusic, V & Zeleznikow, J 1999, 'Knowledge discovery and data mining in biological databases', Knowledge Engineering Review, vol. 14, no. 3, pp. 257-277.
Brusic, Vladimir ; Zeleznikow, John. / Knowledge discovery and data mining in biological databases. In: Knowledge Engineering Review. 1999 ; Vol. 14, No. 3. pp. 257-277.
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