Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management

I got this book for a class on Data-Mining and I found it to be a very good book. It has good visuals to help the reader understand the concepts in the book and maintains a good sense of humor throughout so reading it doesn't seem as dense as some of my typical statistics books. My only criticism of the book would be that it never discusses common software platforms for performing these tasks. While I understand that he probably didn't want to favor a particular platform over another, it seems that introducing the major ones could be helpful for people that may be very used to using just one.

I taught myself data mining using this book. I also was in my MBA Decision Science class the next year and they used the exact same book, but I had already read the book front to back. I aced that class. The book is comprehensive and allows people to grasp all the basic concepts of data mining.

In a field evolving as dynamically as data science, 2011 seems a long time ago, and I've since bought a number of the newer titles out there. Still, however, I often find myself reverting to Linoff and Barry's text for a lucid explanation of, or interesting take on a particular data mining subject area.The book is thorough (at 800+ pages this should be the expectation) and technical, but isn't really a how-to manual in that it stops short of containing actual code or instructions. That's not an issue, however, as such instructional information is available elsewhere if needed.My only complaint about the work is that it is a little redundant and otherwise verbose at times. I hope a fourth edition is forthcoming, and that it is a little more tightly edited.---Z. KhandwalaInstitute for Advanced AnalyticsBellarmine University - Louisville, KY

I listened to the audio book (35 hrs) and know I’ll want to go over it again. It covered like every topic in data science. Not light reading, but a great book.

I have read a couple of books about data science. Reading this one is most enjoyable. I cannot put it down. I found a lot of useful information from examples in different industries. Highly recommend. I do have years of hands on experience on data mining.

This book - has a lot of content - all with quite good relevant examples.Where this book fails is - in its technical details. This is probably a good book for managers - who need to know the basics of what this whole thing is about.This book failed to impress me - since I am a technical person - and would like to know the technical and details about the techniques discussed - of when which technique is to be applied and why and - also how the technique works.The coverage of the book is very good - it has a lot of material to read - but at the end of it - I felt still sort of void - that I did not sink in too much - of why and how we are doing all these techniques and how it gives the answers to the relevant questions.

I was looking for a reference book that could bring me a clear picture of all data mining techniques for marketing and CRM, and there it was. But it goes beyond that, it brings many examples and tips that makes the life eaiser to the data miner. Highly recommended.

Fantastic information. I would give five stars if they included some example coding in any of the major languages, SAS, python, R...