This book distinguishes between statistical data mining and machine-learning data mining, and explains GenIQ Model, a machine-learning alternative to statistical regression. In 2012 this book is on Intel Recommended Reading list.
Statistical and Machine-Learning
Data Mining:
Techniques for Better Predictive Modeling
and Analysis of Big Data
Bruce Ratner,
CRC Press/Taylor & Francis, 2011
The Amazon page for
Statistical and Machine-Learning Data Mining
From the author preface:
It is the only book, to date, that distinguishes between statistical data mining and machine-learning data mining. I was an orthodox statistician until my struggles with the weaknesses of statistics within the big data setting of today were resolved. Now, as a reform statistician who is free of the statistical rigors of yesterday, with many degrees of freedom to exercise, I have composed by intellectual might the original, and practical statistical data mining techniques in first part of the book.
The GenIQ Model, a machine-learning alternative to statistical regression, led to the creative, and useful machine-learning data mining techniques in the remaining part of the book.
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