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.

引用

页码：12 / 23

页数：12

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