Knowledge discovery and data mining in biological databases

Vladimir Brusic, John Zeleznikow

Research output: Contribution to journalArticlepeer-review

20 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
DOIs
Publication statusPublished - Sep 1999

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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