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Proactive Data Mining with Decision TreesConclusions

Proactive Data Mining with Decision Trees: Conclusions [Most works on data mining focus on methods for extracting patterns from datasets containing data from the past or previous events. Although useful, the ability to extract patterns by itself does not provide a holistic answer to what businesses really need—optimization rather than merely discovery.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Proactive Data Mining with Decision TreesConclusions

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Publisher
Springer New York
Copyright
© The Author(s) 2014
ISBN
978-1-4939-0538-6
Pages
87 –88
DOI
10.1007/978-1-4939-0539-3_6
Publisher site
See Chapter on Publisher Site

Abstract

[Most works on data mining focus on methods for extracting patterns from datasets containing data from the past or previous events. Although useful, the ability to extract patterns by itself does not provide a holistic answer to what businesses really need—optimization rather than merely discovery.]

Published: Feb 15, 2014

Keywords: Proactive data mining

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