Web Data Mining

The goal of this book is to present these tasks, and their essential algorithms. It is written for advanced undergraduate students, graduate students, researchers and development professionals in the field. No prior knowledge of data mining or statistics is assumed. In fact, the book covers the essential topics of data mining as well.

Order the Book

Here is a review of the book by Prof. Olfa Nasraoui, published in SIGKDD Explorations, Volume 10, Issue 2, 2009. (I found this on the Web).

If you need an evaluation copy for teaching a course, please drop me an email. I can connect you to the publisher to get a copy.

Table of Contents (Full Version)

1. Introduction
2. Association Rules and Sequential Patterns
3. Supervised Learning
4. Unsupervised Learning
5. Partially Supervised Learning
6. Information Retrieval and Web Search
7. Link Analysis
8. Web Crawling
9. Structured Data Extraction: Wrapper Generation
10. Information Integration
11. Opinion Mining
12. Web Usage Mining

Chapters 8 and 12 were written by Prof. Filippo Menczer and Prof. Bamshad Mobasher respectively. They are international experts in their fields. They were also so kind to revise the chapters numerous times to ensure that the chapters integrate well into the common framework of the whole book.

Lecture Slides

You may be interested in some talks below

• ACM SIGKDD Inaugural Webcast: Web Content Mining
• A tutorial given at WWW-05 and WISE-05
• Slides of several talks given at Google, Yahoo, Microsoft and other places. Drop me an email if you want them.
• Of course, the book covers a lot more topics and algorithms, and also more up-to-date.