Statistical and machine-learning data mining. Techniques for better predictive modeling and analysis of big data. The third edition of this bestseller is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining, is a compilation of new and creative data mining techniques, which address the scaling-up of the framework of classical and modern statistical methodology, for predictive modeling and analysis of big data. SM-DM provides proper solutions to common problems facing the newly minted data scientist in the data mining discipline. Its presentation focuses on the needs of the data scientists (commonly known as statisticians, data miners and data analysts), delivering practical yet powerful, simple yet insightful quantitative techniques, most of which use the “old” statistical methodologies improved upon by the new machine learning influence. See the review of the first edition in [{it B. Ratner}, Statistical modeling and analysis for database marketing. Effective techniques for mining big data. Boca Raton, FL: Chapman and Hall/CRC (2003; Zbl 1035.62119)]. For the second edition see [Zbl 06087308].

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