Statistical and Machine Learning Data Mining Techniques for Better Predictive Modeling and Analysis of Big Data 2nd Edition by Bruce Ratner ISBN 1439860920 9781439860922

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ISBN 10: 1439860920 
ISBN 13: 9781439860922
Author: Bruce Ratner

The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining Big Data, contained 17 chapters of innovative and practical statistical data mining techniques. In this second edition, renamed to reflect the increased coverage of machine-learning data mining techniques, the author has completely revised, reorganized, and repositioned the original chapters and produced 14 new chapters of creative and useful machine-learning data mining techniques. In sum, the 31 chapters of simple yet insightful quantitative techniques make this book unique in the field of data mining literature.

The statistical data mining methods effectively consider big data for identifying structures (variables) with the appropriate predictive power in order to yield reliable and robust large-scale statistical models and analyses. In contrast, the author’s own GenIQ Model provides machine-learning solutions to common and virtually unapproachable statistical problems. GenIQ makes this possible ― its utilitarian data mining features start where statistical data mining stops.

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Tags: Bruce Ratner, Statistical, Data Mining, Techniques, Big Data