Knowledge discovery in databases: application to chromatography

被引：8
|
作者：
Bryant, CH
Rowe, RC
机构：
[1] Univ Huddersfield, Sch Comp & Math, Huddersfield HD1 3DH, W Yorkshire, England
[2] Zeneca Pharmaceut, Macclesfield SK10 2NA, Cheshire, England
来源：
TRAC-TRENDS IN ANALYTICAL CHEMISTRY | 1998年 / 17卷 / 01期
关键词：
knowledge discovery in databases; machine learning;
D O I：
10.1016/S0165-9936(97)00094-0
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
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.
引用
收藏
页码：18 / 24
页数：7
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