From data to knowledge: Chemical data management, data mining, and modeling in polymer science

被引：21
作者：
Adams, N
Schubert, US
机构：
[1] Eindhoven Univ Technol, Lab Macromol Chem & Nanosci, NL-5600 MB Eindhoven, Netherlands
[2] DPI, NL-5600 MB Eindhoven, Netherlands
来源：
JOURNAL OF COMBINATORIAL CHEMISTRY | 2004年 / 6卷 / 01期
关键词：
D O I：
10.1021/cc034021b
中图分类号：
O69 [应用化学];
学科分类号：
081704 ;
摘要：
Data need to be transformed into knowledge for the greatest possible benefit to be derived from combinatorial and high-throughput experimentation. This review provides an overview of recent applications of data handling and data mining techniques in polymer science and discusses the development of quantitative structure - property relationships.
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页码：12 / 23
页数：12
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