Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) 3rd Edition

Needless to say, this is a classic book for data mining.It presents an extraordinary clear flow of materials. The essences of the difficult and challenging research publications are extractedand transformed into a domain even novice could catch the points.For practitioner who wish to get quick and broad-based overview, this book is for you.For students who are going to do research in this area, this is probably the place you should embark

The book is in an excellent state 👌

I'm using this book for a Data Mining class in grad. school. I'd never taken a data mining course. Considering that it was a brand new topic to me, I'd say that I've come a long. Granted, I have a great professor, but the textbook deserves a lot of credit too. It explains all of the steps in the Knowledge Discovery/Data Mining process and some key techniques in a way that left me feeling confident and wanting to learn more.The author(s) did a great job of explaining complex topics. It's a textbook, so there's a good combination of both theory and math. I like the way that the book uses one company as the focus of examples for the entire book. It's creates continuity. I will admit that there are a few points where the author assumes that the reader knows a math concept and doesn't explain it, but overall, if you have at least an introductory level knowledge of statistics, you'll be fine. .

The books is very well written and explains the concepts in a very simple manner. It covers all the algorithms with good examples. A must for a person who wants to learn the concepts of data mining.

The book was in a better condition than advertised, and it arrived just before it was supposed to.

This is a great book for who is starting at data mining.It gives us a solid concept definition about data mining concepts, and common techniques.If you are willing to buy a theoretical book about data mining, this is the one.

If you suffer from insomnia then this book is just the thing for you. If, however, you are new to data mining and do not already have a statistical background then this book is absolutely awful. The writing is overly repetitive, as if the authors wrote separately and didn't compare what they had written before just merging it all together, and there aren't nearly enough visuals. The concepts and formulas could be explained so much more simply if the authors would just use plain speech instead of relying upon their "pseudo code."

As an experienced software engineer doing his first steps in the field of Data Mining, this book proved very useful in introducing the jargon, the basic concepts and the methods used in the field of Data Mining.The book is easy to read, filled with examples, and provides a comfortably paced (some would say slow) introduction to any mathematical / computational concepts required to understand any given subject.There book is lengthy, so it takes time to go over all the chapters. In addition, some more specialized concepts (such as data mining streams and social networks) are provided for free at the publisher's web-site.All in all - a good book for those who want a solid introduction to the field of Data Mining.