The Handbook Of Statistical Analysis And Data Mining Applications is considered by many to be an invaluable resource for those who are deeply involved in the subject of data mining. Authored by Robert Nisbet, Elder John and Gary Miner, the book is a comprehensive guide to the topic of data mining and a professional reference book, written with the interests of engineers, professors and scientists in mind.

The book is furnished with practical, real-world techniques utilised to implement the required programs and is a book that is written by practicing data miners for data miners. Besides the innumerable and extensive case studies, powerpoints and examples that it contains, the content of the book is segregated in a way that is easy to understand by readers and makes the location of specific information within the book simple. The book is divided into four distinct sections, beginning with the history of phases of data analysis, basic theory and the data mining process. The second unit deals with the algorithms used and the organisations that are most commonly used in data mining. This is followed by a step-by-step set of tutorials in the third unit. The book concludes with a section that contains brief discussion of the future of analytics.

Handbook Of Statistical Analysis And Data Mining Applications was published by Academic Press Inc. in a Har/DVD edition (hardbound and DVD) in 2009. The book is available in hardcover.

Key Features:

• The book contains practical advice based on the real-world implementations of the subject.
• Numerous tutorials in the book provide information in ordered steps, in order to help readers utilise the supplied tools and build models.