Reactive Business Intelligence

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By Volkan TUNALI, December 25, 2010 3:14 pm

Reactive Business Intelligence - coverI’ve recently found an interesting data analysis and visualization book: Reactive Business Intelligence: From Data to Models to Insight by Roberto Battiti and Mauro Brunato.

The book explains data analysis concepts in an easy and intuitive way, supported with visual elements. It is freely available for download at

There are also funny pictures that depict the subject. Below are two examples of such pictures I find very nice. I hope the authors don’t mind me putting them here. :)

Figure 7.1 from page 42 – Clustering.

Figure 17.1 from page 167 – Local search.
Update April 6, 2011: A little note from the authors:
Dear colleague:

Our latest book is now printed:

Reactive Business Intelligence. From Data to Models to Insight.
R. Battiti and M. Brunato,
Reactive Search Srl, Italy, February 2011.
ISBN: 978-88-905795-0-9

Full details at the book web site:

Reactive Business Intelligence is about integrating data mining,
modeling and interactive visualization, into an end-to-end
discovery and continuous innovation process powered
by human and automated learning.
This holistic and unifying goal requires collecting and integrating
topics which are usually dissected in books dedicated to
different areas.

We plan to place figures and slides in the same place very soon.

– Roberto Battiti and Mauro Brunato

Guide to Intelligent Data Analysis

By Volkan TUNALI, December 22, 2010 11:03 pm

I want to introduce a new Data Mining book from Springer: Guide to Intelligent Data Analysis. This book provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems.

Authors: Michael R. Berthold (University of Konstanz, Germany), Christian Borgelt (European Centre for Soft Computing, Spain), Frank Höppner (Ostfalia University of Applied Sciences, Germany), Frank Klawonn (Ostfalia University of Applied Sciences, Germany).
Publisher: Springer
ISBN: 978-1-84882-259-7

In the book, chapters proceed with examples where KNIME and/or R are used as analysis tools. In addition, two chapters of appendices are dedicated to KNIME and R.

This is an excellent book which contains a very good combination of both theory and practice of data analysis. I strongly recommend this book to data mining researchers. For more information you can visit Springer page of the book.

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