Knowledge discovery in databases: application to chromatography
Bryant, CH and Rowe, RC 1998, 'Knowledge discovery in databases: application to chromatography' , Trends in Analytical Chemistry, 17 (1) , pp. 18-24.
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This paper 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.
|Uncontrolled Keywords:||knowledge discovery in databases, machine learning, chromatography|
|Themes:||Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Subjects / Themes > Q Science > QD Chemistry
Subjects outside of the University Themes
|Schools:||Schools > School of Computing, Science and Engineering
Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
|Journal or Publication Title:||Trends in Analytical Chemistry|
|Depositing User:||Dr Chris H. Bryant|
|Date Deposited:||17 Feb 2009 13:34|
|Last Modified:||01 Dec 2015 00:04|
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