Product Description
Data Mining and Knowledge Discovery for Geoscientists
Authored by a global thought leader in data mining, this book summarizes the latest developments and practical data application techniques for geoscientists.
Guangren Shi (Author)
9780124104372
Hardback, published 12 December 2013
376 pages
23.5 x 19 x 2.6 cm, 0.96 kg
\""Shi introduces geological scientists to algorithms that are widely used for data mining and knowledge discovery, describes how they have been and could be applied in the geosciences, and surveys some successful applications. The algorithms fall into the categories of probability and statistics, artificial neural networks, support vector machines, decision trees, Bayesian classification, cluster analysis, the Kriging method, and fuzzy mathematics\u2026\""-ProtoView.com, February 2014
Currently there are major challenges in data mining applications in the geosciences. This is due primarily to the fact that there is a wealth of available mining d]
Data Mining and Knowledge Discovery for Geoscientists Shi Hardback Elsevier
Data Mining and Knowledge Discovery for Geoscientists
Authored by a global thought leader in data mining, this book summarizes the latest developments and practical data application techniques for geoscientists.
Guangren Shi (Author)
9780124104372
Hardback, published 12 December 2013
376 pages
23.5 x 19 x 2.6 cm, 0.96 kg
\""Shi introduces geological scientists to algorithms that are widely used for data mining and knowledge discovery, describes how they have been and could be applied in the geosciences, and surveys some successful applications. The algorithms fall into the categories of probability and statistics, artificial neural networks, support vector machines, decision trees, Bayesian classification, cluster analysis, the Kriging method, and fuzzy mathematics\u2026\""-ProtoView.com, February 2014
Currently there are major challenges in data mining applications in the geosciences. This is due primarily to the fact that there is a wealth of available mining d]
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