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Emergent Web Intelligence: Advanced Information Retrieval

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Cover of 'Emergent Web Intelligence: Advanced Information Retrieval'

Table of Contents

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    Book Overview
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    Chapter 1 Contextual and Conceptual Information Retrieval and Navigation on the Web
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    Chapter 2 Automatic Invocation Linking for Collaborative Web-Based Corpora
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    Chapter 3 WS-Query – A Framework to Efficiently Query Semantic Web Service
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    Chapter 4 RDF-GL: A SPARQL-Based Graphical Query Language for RDF
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    Chapter 5 Semantics-Based Intelligent Indexing and Retrieval of Digital Images – A Case Study
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    Chapter 6 Harvesting Intelligence in Multimedia Social Tagging Systems
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    Chapter 7 User Profiles Modeling in Information Retrieval Systems
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    Chapter 8 Human–Web Interactions
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    Chapter 9 Web Recommender Agents with Inductive Learning Capabilities
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    Chapter 10 Capturing the Semantics of User Interaction: A Review and Case Study
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    Chapter 11 Analysis of Usage Patterns in Large Multimedia Websites
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    Chapter 12 An Adaptation Framework for Web Multimedia Presentations
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    Chapter 13 A Multifactor Secure Authentication System for Wireless Payment
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    Chapter 14 A Lightweight Authentication Protocol for Web Applications in Mobile Environments
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    Chapter 15 Developing Access Control Model of Web OLAP over Trusted and Collaborative Data Warehouses
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    Chapter 16 Security in Distributed Collaborative Environments: Limitations and Solutions
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    Chapter 17 A Low-Cost and Secure Solution for e-Commerce
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    Chapter 18 Hyperchaotic Encryption for Secure E-Mail Communication
Attention for Chapter 11: Analysis of Usage Patterns in Large Multimedia Websites
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Chapter title
Analysis of Usage Patterns in Large Multimedia Websites
Chapter number 11
Book title
Emergent Web Intelligence: Advanced Information Retrieval
Published in
ADS, January 2010
DOI 10.1007/978-1-84996-074-8_11
Book ISBNs
978-1-84996-073-1, 978-1-84996-074-8
Authors

Rahul Singh, Bibek Bhattarai, Singh, Rahul, Bhattarai, Bibek

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Student > Ph. D. Student 1 33%
Researcher 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Business, Management and Accounting 1 33%