Perspectives on Knowledge Discovery Algorithms Recently Introduced in Chemoinformatics: Rough Set Theory, Association Rule Mining, Emerging Patterns, and Formal Concept Analysis-Reference-Cited by-同舟云学术

Perspectives on Knowledge Discovery Algorithms Recently Introduced in Chemoinformatics: Rough Set Theory, Association Rule Mining, Emerging Patterns, and Formal Concept Analysis

Published:2015-08-19 Issue:9 Volume:55 Page:1781-1803
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Gardiner Eleanor J.¹,Gillet Valerie J.¹

Affiliation:

1. Information School, University of Sheffield, Regent Court, 211 Portobello, Sheffield S1 4DP, United Kingdom

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.5b00198

Reference182 articles.

1. Knowledge discovery from databases: an introductory review

2. Chemical Data Mining of the NCI Human Tumor Cell Line Database

3. Fast factorization by similarity in formal concept analysis of data with fuzzy attributes

4. Rough sets

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