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Data mining algorithms. Explained using R. (English) Zbl 1305.62001
Hoboken, NJ: John Wiley & Sons (ISBN 978-1-118-33258-0/hbk; 978-1-118-95095-1/ebook). xxxi, 683 p. (2015).
Publisher’s description: This book is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using examples in R

MSC:
62-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics
62-04 Software, source code, etc. for problems pertaining to statistics
62-07 Data analysis (statistics) (MSC2010)
62H30 Classification and discrimination; cluster analysis (statistical aspects)
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