Handbook of Statistical Analysis and Data Mining Applications,   ISBN:9780123747655

Customer Rating: 

discussion proceeds in logical way- start by working one example then go back and get your questions answered. trail software download no problems. highly recommend but must buy hardcopy to get dvd. dvd not included in e download. Amazon very quick to help me cancel e download and order hardcopy once i became aware the content of the dvd not included in e download. complements to author and thanks to Amazon for working problem. With e download text easy read on pc screen not certain would be good read on K.

Customer Rating: 

Nisbet's, Elder's and Miner's book on statistical analysis, was effective in that it:
- gave a intellectual insight into the thinking world of the analyst, as well as
- defined a strong analytics process to follow and
- gave you hands on examples and tool discussions that attempt to implement the intellectual concepts and process.
In the cases of KXEN and SPSS's Clementine. I was able to download their trial software and use this book to exercise the concepts.
I found KXEN's ability to automate the process (and leverage a database engine!) and do much of the analytics at the "click of a button" very powerful, reinforcing much of the book.
It is clear that the "thinking" part of analytics is still important and critical to successful analytics, the automation in KXEN is an effective adjunct and accelerator to the expression of the analyst's intellectual thinking.

Customer Rating: 

As a user of data mining output, it is important that I have a managerial level of the processes, benefits, and pitfalls in data mining. This book is an excellent tool, providing me both high-level information and resources to dig into more details wherever I need. I highly recommend this book for anyone in business who wants to employ data mining as a vital tool to grow their business and improve their bottom line.

Customer Rating: 

This is by far the most comprehensive and well written book on data mining. It is exceptionally well organized, and provides easy-to-understand descriptions of very complex processes and algorithms. Through tutorials and case studies, anyone from those just learning about data mining to experts will get great value from this book. The tutorials show step-by-step examples of how the leading tools on the market can be applied to solve an array of problems. Having developed and applied data mining tools for over 20 years, I have never seen a book that I would recommend more highly on this subject.

Customer Rating: 

I found this to be a very good book. I think anyone that has an interest in data mining would benefit from this book. It walks you through from the basics through more advanced concepts. I've been interested in data mining for some time and found new and interesting info in the book that I can use. I think it would be a great text for a class in data mining. Wish I had it back when I was learning.