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1999 Volume 14
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RESEARCH ARTICLE   Open Access    

Knowledge discovery and data mining in biological databases

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  • 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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    VLADIMIR BRUSIC, JOHN ZELEZNIKOW. 1999. Knowledge discovery and data mining in biological databases. The Knowledge Engineering Review. 14: doi: 10.1017/S0269888999003069
    VLADIMIR BRUSIC, JOHN ZELEZNIKOW. 1999. Knowledge discovery and data mining in biological databases. The Knowledge Engineering Review. 14: doi: 10.1017/S0269888999003069

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RESEARCH ARTICLE   Open Access    

Knowledge discovery and data mining in biological databases

The Knowledge Engineering Review  14 Article number: 10.1017/S0269888999003069  (1999)  |  Cite this article

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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    Cite this article
    VLADIMIR BRUSIC, JOHN ZELEZNIKOW. 1999. Knowledge discovery and data mining in biological databases. The Knowledge Engineering Review. 14: doi: 10.1017/S0269888999003069
    VLADIMIR BRUSIC, JOHN ZELEZNIKOW. 1999. Knowledge discovery and data mining in biological databases. The Knowledge Engineering Review. 14: doi: 10.1017/S0269888999003069
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