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Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration
Dimensionality Reduction for Data Mining-Techniques, Applications and TrendsLei Yu Binghamton University Jieping Ye, Huan Liu Arizona State University
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Data mining basically involves the sifting of large volumes of data to generate new information. Read more about the techniques and applications in this field.
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Examine different data mining and analytics techniques and solutions. Learn how to build them using existing software and installations.
Bharati M. Ramageri / Indian Journal of Computer Science and Engineering Vol. 1 No. 4 301-305 DATA MINING TECHNIQUES AND APPLICATIONS Mrs. Bharati M. Ramageri, Lecturer
Review Data mining techniques and applications – A decade review from 2000 to 2011 Shu-Hsien Liao⇑, Pei-Hui Chu, Pei-Yuan Hsiao Department of Management Sciences, Tamkang University, No. 151, Yingzhuan Rd., Tamsui Dist.,
Description. Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration
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