Current Reading in Data Mining

I’m currently reading two interesting books about analytics and data mining. I will review these two books in the near future. Meanwhile, here is a few information about these books:

  • Analytics at Work (Davenport/Harris): I recently had the chance to receive an advance reader’s copy of this book (publication date: February 12th). Comparing to Competing on Analytics, Analytics at Work is for a larger audience since it explains how any company can improve in analytics. This book is easy to read and contains a lot of advices for anybody involved in this field.
  • Handbook of Statistical Analysis and Data Mining Applications (Nisbet/Elder/Miner): I heard a lot about this book. It seems to be THE new book about data mining. So I wanted to check by myself. I have to admit that it is a very interesting reading but since it is not theoretical, it is more beginner oriented. However, the applications and examples in SAS, Clementine and STATISTICA are very well presented. It is a new and fresh approach to data mining, which is very pleasant to read.

Even before making the final reviews, I can already recommend you these two books. Happy reading!

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Comments Icon3 comments found on “Current Reading in Data Mining

  1. I am interested to learn more about Collective Intelligence which is based on Text Mining and other things. Can you guide me where should I start from? I am basically a web developer

  2. Hey, great blog. I found your site via your review of Introduction to Data Mining on amazon. I think i’ll pick that up for my next book. I’m currious, in your review you said that it wasn’t a good book for learning about kernels. Do you have a suggestion for a introductory book on kernel methods?

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