Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
57933 | Catalysis Today | 2008 | 9 Pages |
Abstract
The subject of ‘data mining’, also known as ‘knowledge discovery’, has exciting applications in catalysis research. In this paper, I outline the basics of data mining, with examples from different areas of catalysis. The focus is on the concepts, rather than on specific algorithms. I highlight the subject of descriptor modelling methods for rational catalyst design, and summarise some simple validation approaches that can help us separate knowledge from garbage.
Keywords
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Catalysis
Authors
Gadi Rothenberg,