Title page -- Contents -- Foreword -- Introduction -- The World Wide Web -- Towards new portal generation -- Structure of the book -- Web data -- Web's Operation -- The information behind the clicks -- Session reconstruction process -- Finding real sessions -- The information contained in a web page -- Web page content -- Web page links -- Summary -- Knowledge discovery from web data -- Overview -- Data sources and cleaning -- Data consolidation and information repositories -- Data Mining -- Motivation -- Data Mining techniques -- Association rules -- Classification -- Clustering -- Tools for mining data -- Artificial Neural Networks (ANN) -- Self-Organizing Feature Maps (SOFMs) -- K-means -- Decisions trees -- Bayesian networks -- K-Nearest Neighbor (KNN) -- Support vector machines (SVMs) -- Using data mining to extract knowledge -- Validation of the extracted knowledge -- Mining the web -- Summary -- Web information repository -- A short history of data storage -- Storing historical data -- Information systems -- Data Mart and Data Warehouse -- The multidimensional analysis -- The Cube Model -- The Star Model -- The Extraction, Transformation and Loading Process -- Extraction -- Transformation -- Loading -- Web warehousing -- Information repository for web data -- Thinking the web data in several dimensions -- Hyper cube model for storing web data -- Star model for storing web data -- Selecting a model for maintaining web data -- ETL process applied to web data -- Processing web page text content -- Processing the inner web site hyperlinks structure -- Processing the web logs -- Summary -- Mining the Web -- Mining the structure -- The HITS algorithm -- The Page Rank algorithm -- Identifying web communities -- Mining the content -- Classification of web page text content -- Clustering for groups having similar web page text content.

Some applications -- WEBSOM -- Automatic web page text summarization -- Extraction of key-text components from web pages -- Mining the usage data -- Statistical methods -- Clustering the user sessions -- Classification of the user behavior in a web site -- Using association rules for discovering navigation patterns -- Using sequence patterns for discovering common access paths -- Some particular implementations -- Web query mining -- Prefetching and caching -- Helping the user's navigation in a web site -- Improving the web site structure and content -- Web-based adaptive systems -- Summary -- Web-based personalization systems -- Recommendation Systems -- Short historical review -- Web-based recommender systems -- Web recommender systems, particular approaches and examples -- Systems for personalization -- Computerized personalization -- Effectiveness of computerized personalization systems -- Computerized personalization approaches -- Web personalization -- Aspects of web personalization privacy -- Main approaches for web personalization -- Privacy aspects of web personalization privacy -- Adaptive web-based systems -- A short introduction -- Elements to take into account -- Web site changes and recommendations -- Adaptive systems for web sites -- Summary -- Extracting patterns from user behavior in a web site -- Modelling the web user behavior -- Web data preparation process -- Comparing web page contents -- Comparing the user navigation sequences -- Extracting user browsing preferences -- Comparing user browsing behavior -- Applying a clustering algorithm for extracting navigation patterns -- Extracting user web page content preferences -- Comparing user text preferences -- Identifying web site keywords -- Summary -- Acquiring and maintaining knowledge extracted from web data -- Knowledge Representation.

Fundamental roles of knowledge representation -- Rules -- Knowledge repository -- Representing and maintaining knowledge -- Knowledge web users -- A framework to maintain knowledge extracted from web data -- Overview -- The Web Information Repository -- The Knowledge Base -- Pattern Repository -- Rule Repository -- Integration with adaptive web sites -- Summary -- A framework for developing adaptive web sites -- The adaptive web site proposal -- Selecting web data -- Extracting information from web data -- The star model used for the creation of the WIR -- Session reconstruction process -- Web page content preprocessing -- Applying web mining techniques -- Analyzing the user browsing behavior -- Applying statistics -- Using SOFM for extracting navigation patterns -- Using K-means for extracting navigation patterns -- Analyzing user text preferences -- Using the extracted knowledge for creating recommendations -- Offline recommendations -- Structure recommendations -- Content recommendations -- Online recommendations -- Testing the recommendation effectiveness -- Testing offline structure recommendation -- Testing offline content recommendation -- Testing online navigation recommendation -- Storing the extracted knowledge -- Pattern Repository -- Rules for navigation recommendations -- Summary -- In place of conclusions -- Bibliography.