From Data to Knowledge:  Chemical Data Management, Data Mining, and Modeling in Polymer Science

Journal Publication ResearchOnline@JCU
Adams, Nico;Schubert, Ulrich S.
Nico Adams
Abstract

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.

Journal

Journal of Combinatorial Chemistry

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Volume

6

ISBN/ISSN

1520-4774

Edition

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Issue

1

Pages Count

12

Location

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Publisher

American Chemical Society

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Publisher Location

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Publish Date

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Url

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Date

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EISSN

N/A

DOI

10.1021/cc034021b