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Data mining in catalysis: Separating knowledge from garbage

✍ Scribed by Gadi Rothenberg


Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
566 KB
Volume
137
Category
Article
ISSN
0920-5861

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✦ Synopsis


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.


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