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Knowledge discovery in databases: application to chromatography
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DOI：10.1016/S0165-9936(97)00094-0.png)
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This article reviews emerging computer techniques for discovering knowledge from databases and their application to various sets of separation data, The data-sets include the separation of a diverse range of analytes using either liquid, gas or ion chromatography, The main conclusion is that the new techniques should help to close the gap between the rate at which chromatographic data is gathered and stored electronically and the rate at which it can be analysed and understood. (C) 1998 Elsevier Science B.V.
Keyword:
knowledge discovery in databases
machine learning
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