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Summary: great explanation for data mining concept
Review: although I am a mathematician, this book would be unbored for me. it was written clearly, everybody that is interested in the concept of data mining can easily understand it. there is no so much complexity. Especially the link with the marketing was constructed strongly, I wanna advise this book for the business analysists, statisticians and marketers and ....
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Summary: Why I didn't get deep into math. By the Author.
Review: Data Mining is not just about math. "Data Mining Techniques : For Marketing, Sales, and Customer Support" was intended to be a reference for marketers, not developers. Before designing algorythms, you need to know your needs. Math can be confusing for focusing on facts and needs.
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Summary: Everyone Should Do This
Review: Data mining is such a simple thing that you wonder why more companies don't do a better job of mining their own data sitting on their own hard disks.
If a customer buys the first in a series of mystery novels, who better to send a note telling him that the second book is now available. That's the essence of data mining. This would allow you to get a much higher return on your mailing, saving money and increasing return on your marketing.
This is one of those books that you need to read every few months. Each time you go through it you will find some idea that will enable you to get more out of your data. It isn't a book heavy on programming, but on the concepts that have worked for others.
Highly recommended.
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Summary: Excellent business-oriented introduction
Review: Data Mining Techniques, For Marketing, Sales, and Customer Support strikes a good balance: business parts never get technical and technical parts are always to the point. This book is rich with examples from real business cases. I consider this the best introduction in data mining currently available.
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Summary: Excellent!!!
Review: Forget the negative review of the guy from Tempe: if you're not interested in the math, you can make do with the descriptions and if you know enough math the descriptions are enough for you to reconstruct the algorithms. This is a fine introductory book to the subject.
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Summary: Theoretical and pseudo practical
Review: I believe this book will illustrate beginners on the "Data Mining" topic. Starting by making them understand the business flow process. Further on it will explain what the techniques are. The EXCELLENT thing in this book is, that it gives anybody examples of how these techniques were use on real life cases. The LACK on the book is that it doesn't provide solutions for anybody to implement. In other words it is not a business tool. I believe a book that cold be called "Data Mining Business Solutions and Applications" could be a hit if it existed.
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Summary: Difficult to Understand
Review: I found this book too complex to read. Simple concepts have been elaborated to such an extent that it is extremely difficult to understand. For example, there is a lot of rambling on decision trees and memory based reasoning.
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Summary: good book
Review: i liked the flow in the book
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Summary: Very good data mining book!!!
Review: I've purchased this book a week ago. So far I've read until chapter four and have learned a lot already. Descriptions are clear and the authors presented a lot of implementation scenarios/samples.
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Summary: The first book on Data Mining everyone should read
Review: It covers almost every aspect of data mining. It is clear, precise, goes to the point, and sometimes goes into some depth. If you are a marketing person, it will give you a very refined idea of what can be done with data mining, and what does it involves for your company ( remember the first thing you need is DATA!!). If you are an academic person, you will get a general idea of the different kinds of data analysis. You won't see any formulae or algorithms, after reading this book look for details somewhere else.
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