Statistical and Machine-Learning Data Mining

Ebook

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.

This book contains essays offering detailed background, discussion, and illustration of specific methods for solving the most commonly experienced problems in predictive modeling and analysis of big data. They address each methodology and assign its application to a specific type of problem. To better ground readers, the book provides an in-depth discussion of the basic methodologies of predictive modeling and analysis. While this type of overview has been attempted before, this approach offers a truly nitty-gritty, step-by-step method that both tyros and experts in the field can enjoy playing with.

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Statistical And Machine Learning Data Mining


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Author by : Bruce Ratner
Languange Used : en
Release Date : 2017-07-12
Publisher by : CRC Press

The third edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predict

Statistical And Machine Learning Data Mining


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Author by : Bruce Ratner
Languange Used : en
Release Date : 2012-02-28
Publisher by : CRC Press

The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predic

Statistical And Machine Learning Data Mining


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Author by : Bruce Ratner
Languange Used : en
Release Date : 2011-12-19
Publisher by : CRC Press

The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predic

Statistics Data Mining And Machine Learning In Astronomy


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Author by : Željko Ivezić
Languange Used : en
Release Date : 2014-01-05
Publisher by : Princeton University Press

As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astrono

Statistical And Machine Learning Approaches For Network Analysis


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Author by : Matthias Dehmer
Languange Used : en
Release Date : 2012-06-26
Publisher by : John Wiley & Sons

Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and M

The Elements Of Statistical Learning


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Author by : Trevor Hastie
Languange Used : en
Release Date : 2013-11-11
Publisher by : Springer Science & Business Media

During the past decade there has been an explosion in computation and information technology. With it have com

Principles And Theory For Data Mining And Machine Learning


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Author by : Bertrand Clarke
Languange Used : en
Release Date : 2009-07-21
Publisher by : Springer Science & Business Media

Extensive treatment of the most up-to-date topics Provides the theory and concepts behind popular and emerging

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