Web Mining

Applications and Techniques

By: Anthony Scime (Editor)

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Hardcover | 29 April 2011

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Hardcover
444 Pages

Dimensions(cm)
25.4 x 17.78 x 3.18

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Web mining is moving the World Wide Web toward a more useful environment in which users can quickly and easily find the information they need. Web mining uses document content, hyperlink structure, and usage statistics to assist users in meeting their needed information. This book provides a record of current research and practical applications in Web searching. It includes techniques that will improve the utilization of the Web by the design of Websites, as well as the design and application of search agents. This book presents this research and related applications in a manner that encourages additional work toward improving the reduction of information overflow, which is so common today in Web search results.

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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Mining Digital Lifestyle & Online World: Consumer & User Guides Internet Guides & Online Services Computer Science Graphical & Digital Media Applications Web Graphics & Design

Preface	p. vi
Introduction
Metadata Management: A Requirement for Web Warehousing and Knowledge Management	p. 1
Mining for Web Personalization	p. 27
Content Mining
Using Context Information to Build a Topic-Specific Crawling System	p. 50
Ontology Learning from a Domain Web Corpus	p. 69
MARS: Multiplicative Adaptive Refinement Web Search	p. 99
Exploiting Captions for Web Data Mining	p. 119
Towards a Danger Theory Inspired Artificial Immune System for Web Mining	p. 145
XML Semantics	p. 169
Classification on Top of Data Cube	p. 189
Structure Mining
Data Cleansing and Validation for Multiple Site Link Structure Analysis	p. 208
Extracting and Customizing Information Using Multi-Agents	p. 228
Web Graph Clustering for Displays and Navigation of Cyberspace	p. 253
Usage Mining
Integrating Semantic Knowledge with Web Usage Mining for Personalization	p. 276
Web Usage Mining in Search Engines	p. 307
Efficient Web Mining for Traversal Path Patterns	p. 322
Analysis of Document Viewing Patterns of Web Search Engine Users	p. 339
A Java Technology Based Distributed Software Architecture for Web Usage Mining	p. 355
Web Usage Mining: Algorithms and Results	p. 373
Conclusion
The Scent of a Newsgroup: Providing Personalized Access to Usenet Sites through Web Mining	p. 393
About the Authors	p. 415
Index	p. 424
Table of Contents provided by Rittenhouse. All Rights Reserved.

Web Mining

Applications and Techniques

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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