Advances in Web Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Toward Web Intelligence
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   Chapter 2 From Search Engines to Question-Answering Systems — The Need for New Tools
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   Chapter 3 Artificial Intelligence Techniques in Retrieval of Visual Data Semantic Information
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   Chapter 4 A Framework to Integrate Business Goals in Web Usage Mining
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   Chapter 5 Clustered Organized Conceptual Queries in the Internet Using Fuzzy Interrelations
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   Chapter 6 Collaborative Filtering Using Interval Estimation Naïve Bayes
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   Chapter 7 DJ-Boids: Flocks of DJ’s to Program Internet Multichannel Radio Stations
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   Chapter 8 Evaluating the Informative Quality of Web Sites by Fuzzy Computing with Words
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    Chapter 9 Mining Association Rules Using Fuzzy Inference on Web Data
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    Chapter 10 The “Who Is It?” Problem Application for Customizable Web Sites
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    Chapter 11 Using Case-Based Reasoning to Improve Information Retrieval in Knowledge Management Systems
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    Chapter 12 Web Page Classification: A Soft Computing Approach
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    Chapter 13 Content-Based Methodology for Anomaly Detection on the Web
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    Chapter 14 Designing Reliable Web Security Systems Using Rule-Based Systems Approach
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    Chapter 15 Secure Intelligent Agents Based on Formal Description Techniques
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    Chapter 16 A Natural Language Interface for Information Retrieval on Semantic Web Documents
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    Chapter 17 Conceptual User Tracking
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    Chapter 18 Coping with Web Knowledge
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    Chapter 19 Formalization of Web Design Patterns Using Ontologies
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    Chapter 20 A Multi-agent System for Web Document Authoring
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    Chapter 21 On the Vague Modelling of Web Page Characteristics Regarding Usability
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    Chapter 22 Semantic Interoperability Based on Ontology Mapping in Distributed Collaborative Design Environment
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    Chapter 23 The Use of Data Mining Techniques to Classify Styles and Types of Web-Based Information: Generation of Style Sheets Using Data Mining
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    Chapter 24 Building Topic Profiles Based on Expert Profile Aggregation
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    Chapter 25 Carrot 2 and Language Properties in Web Search Results Clustering
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    Chapter 26 Practical Evaluation of Textual Fuzzy Similarity as a Tool for Information Retrieval
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    Chapter 27 Rough — Fuzzy Reasoning for Customized Text Information Retrieval
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    Chapter 28 A Machine Learning Based Evaluation of a Negotiation between Agents Involving Fuzzy Counter-Offers
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    Chapter 29 Autonomous Agents to Support Interoperability and Physical Integration in Pervasive Environments
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    Chapter 30 Feature Selection Algorithms to Improve Documents’ Classification Performance
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    Chapter 31 ROSA — Multi-agent System for Web Services Personalization
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    Chapter 32 Supporting Software Maintenance in Web Repositories through a Multi-agent System
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    Chapter 33 A Hybrid Method for Patterns Mining and Outliers Detection in the Web Usage Log
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    Chapter 34 Analysis of User’s Behaviour in Very Large Business Application Systems with Methods of the Web Usage Mining — A Case Study on SAP® R/3®
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    Chapter 35 Automation of the Deep Web with User Defined Behaviours