Data mining for Web

Mylène Bazsalicza and Patrick Naim both work for Elseware, a company specializing in data mining, mainly in finance and banking. They have combined their skills (in marketing Mylène Bazsalicza and modeling for Patrick Naim) to offer us a book on the application of data mining to the online world.

Data mining is to simplify the use of statistics in order to infer trends and predict behavior. The aim of this book is to explain the possibilities of farms analytical tools and techniques of data mining to web sites, to increase returns through personalization methods.

The book is divided into three parts.

The first part describes why the book defines (or attempts to define) what data mining, the vocabulary used and the methods used. Y are described as concepts related websites (hits, pages, ...) and a brief study of the evolution of the structure of sites (moving from static sites to dynamic sites customized).

The second part explains the techniques used in data mining and exploitable operating on the web. The chapter ends with a presentation of over 25 tools and software can meet, in whole or in part, to the problems raised previously.

Finally, the third part presents actual case studies, using the best tools available. The last two chapters of the book concern the methodology of the project and discusses the issue of respect for privacy.

If you read us regularly, you know we recommend you to study the behavior of your visitors, keep an eye on your log files and track your visitors. Data mining is the next step: the same but elevated to an art or profession.

Obviously LMES tools described therein are often out of reach for most budgets for website development, however, described some methods, some algorithms could easily be adapted with tools to lower costs for an initial response.

Unlike many books on this topic, it is easily readable and affordable for anyone interested in optimizing a web site and the search for improved returns it. Besides this clear writing, the structure of the book and its contents destined to become a reference on the subject.

The great criticism that we can do in this book is that it can seem a little superficial for those already initiated in the techniques of data mining. Admittedly, for once, the blurb in the 4th coverage does not claim anything ...

In summary, should buy this book? Yes, definitely. There are only two reasons why you might not like this book. The first is whether you are an expert in data mining. The second is if you do not try to improve your site ...