Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) 4th Edition

I've read and reviewed the 1st, 2nd and now the 4th edition. The authors are genuine experts, at the front of their fields, and by adding new contributors have been able to both update existing topics as well as add authoritative treatments of new ones. I recommend this text to anyone seeking a serious introduction to data mining. The emphasis is practical rather than theoretical, but there are pointers to the theoretical literature for those wanting them. The practical emphasis serves those wanting such, and provides motivation and context for the approach. For those with the necessary mathematical, statistical and computing background there are certainly a plethora of more advanced treatments, but Witten et.al. may well be the best available introduction to the subject for almost everyone.

Very good book for my master's thesis. Easy to understand and read.

This is a great textbook for the subject, but this edition has some significant typos in it. The book i received has significant errors in reference to chapters in the book. For example, the opening to part two of the book references the later chapters all incorrectly. The book seems to be legit as far as being genuine so i don't think i got a knock-off version.

This is one of the best, well written, instructive books on AI/data mining that I've ever read. Using their WEKA tool while reading this book is without a doubt an outstanding way to make progress in data mining.

This review is about the actual book. I have no complaints about the shipment or the condition of the book. The book was required for class, and I have no idea why. It is complete junk and waste of time and money! I did not benefit from reading this book at all. It is painful to try to read, very boring and not educational. I can't believe this book was required for my class and I will complain when I evaluate the class.

This was a gift for someone else. The recipient is enjoying reading and learning from this edition. Thank you for the fast delivery!

PDF Files - There is a Weka Manual in the download file, and a Weka Tutorial in the most recent version of Weka.

This book seems to have all the content you need to become well informed about the field of data mining. The issue with this book is the authors are so verbose in their writing style. It takes forever to get into the important concepts and demonstrations. I also I'm not a big fan of limited hands-on/walk-through examples within the book using WEKA. Overall this textbook has good content and is useful but very difficult to read through due to the lengthy and unnecessary writing.