Data Mining The Web

By data mining the Web, we refer to the application of data mining methodologies, techniques, and models to the variety of data forms, structures, and usage patterns that comprise the World Wide Web. As the subtitle indicates, we are interested in uncovering patterns and trends in the content, structure, and use of the Web.

A good definition of data mining is that in Principles of Data Mining by David Hand, Heikki Mannila, and Padhraic Smyth (MIT Press, Cambridge, MA, 2001): “Data mining is the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in novelways that are both understandable and useful to the data owner.” Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage demonstrates how to apply data mining methods and models toWeb-based data forms.

The book provides the reader with models and techniques to uncover hidden nuggets of information in Webbased data, insight into how web mining algorithms really work, and finaly with experience of actually performing web mining on real-world data sets.

The book continues the coverage of data mining as a process. The particular standard process used is the CRISP-DM framework: the cross-industry standard process for data mining. CRISP-DM demands that data mining be seen as an entire process, from communication of the business problem through data collection and management, data preprocessing, model building, model evaluation, and finally, model deployment. Therefore, this book is not only for analysts and managers, but also for data management professionals, database analysts, decision makers, and others whowould like to leverage their repositories of Web-based data.

TABLE OF CONTENT:
Chapter 1 - Information Retrieval Anad Web Search
Chapter 2 - HyperlinkK-Based Ranking
Chapter 3 - Clustering
Chapter 4 - Evaluating Clustering
Chapter 5 - Classification
Chapter 6 - Introduction To Web Usage Mining
Chapter 7 - Preprocessing For Web Usage Mining
Chapter 8 - Exploratory Data Analysis For Web Usage Mining
Chapter 9 - Modeling For Web Usage Mining

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