Web Mining: Applications and Techniques

Web Mining: Applications and Techniques

Anthony Scime (State University of New York at Brockport, USA)
Release Date: August, 2004|Copyright: © 2005 |Pages: 442
ISBN13: 9781591404149|ISBN10: 1591404142|EISBN13: 9781591404163|DOI: 10.4018/978-1-59140-414-9


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 Web sites, as well as the design and application of search agents. This book presents 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.

Reviews and Testimonials

This book contains very valuable [content] to both students and technicians from the E-business industry because it gives great insights to the deepest level of technology while suggesting guides to what application domains we can deal with based on such technologies. As an expert in the web mining field, I strongly recommend this book.

– Professor Wooju Kim, Yonsei University, Korea

Table of Contents and List of Contributors

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Table of Contents
Anthony Scime
Chapter 1
Gilbert W. Laware
This chapter introduces the need for the World Wide Web to provide a standard mechanism so individuals can readily obtain data, reports, research... Sample PDF
Metadata Management: A Requirement for Web Warehousing and Knowledge Management
Chapter 2
Penelope Markellou, Maria Rigou, Spiros Sirmakessis
The Web has become a huge repository of information and keeps growing exponentially under no editorial control, while the human capability to find... Sample PDF
Mining for Web Personalization
Chapter 3
Fan Wu, Ching-Chi Hsu
One of the major problems for automatically constructed portals and information discovery systems is how to assign proper order to unvisited Web... Sample PDF
Using Context Information to Build a Topic-Specific Crawling System
Chapter 4
Roberto Navigli
Domain ontologies are widely recognized as a key element for the so-called semantic Web, an improved, “semantic aware” version of the World Wide... Sample PDF
Ontology Learning from a Domain Web Corpus
Chapter 5
Xiannong Meng, Zhixiang Chen
This chapter reports the project MARS (Multiplicative Adaptive Refinement Search), which applies a new multiplicative adaptive algorithm for user... Sample PDF
MARS: Multiplicative Adaptive Refinement Web Search
Chapter 6
Neil C. Rowe
We survey research on using captions in data mining from the Web. Captions are text that describes some other information (typically, multimedia).... Sample PDF
Exploiting Captions for Web Data Mining
Chapter 7
Andrew Secker, Alex A. Freitas, Jon Timmis
The natural immune system exhibits many properties that are of interest to the area of Web mining. Of particular interest is the dynamic nature of... Sample PDF
Towards a Danger Theory Inspired Artificial Immune System for Web Mining
Chapter 8
XML Semantics  (pages 169-188)
Yasser Kotb, Katsuhiko Gondow, Takuya Katayama
In this chapter, we consider the problem of checking the consistency of the semantics associated with extensible markup language (XML) documents. We... Sample PDF
XML Semantics
Chapter 9
Lixin Fu
Currently, data classification is either performed on data stored in relational databases or performed on data stored in flat files. The problem... Sample PDF
Classification on Top of Data Cube
Chapter 10
Mike Thelwall
A range of techniques is described for cleansing and validating link data for use in different types of Web structure mining, and some applications... Sample PDF
Data Cleansing and Validation for Multiple Site Link Structure Analysis
Chapter 11
Mohamed Salah Hamdi
Rapidly evolving network and computer technology, coupled with the exponential growth of the services and information available on the Internet, has... Sample PDF
Extracting and Customizing Information Using Multi-Agents
Chapter 12
Xiaodi Huang, Wei Lai
This chapter presents a new approach to clustering graphs, and applies it to Web graph display and navigation. The proposed approach takes advantage... Sample PDF
Web Graph Clustering for Displays and Navigation of Cyberspace
Chapter 13
Honghua Dai
Web usage mining has been used effectively as an approach to automatic personalization and as a way to overcome deficiencies of traditional... Sample PDF
Integrating Semantic Knowledge with Web Usage Mining for Personalization
Chapter 14
Ricardo Baeza-Yates
Search engine logs not only keep navigation information, but also the queries made by their users. In particular, queries to a search engine follow... Sample PDF
Web Usage Mining in Search Engines
Chapter 15
Zhixiang Chen, Richard H. Fowler, Ada Wai-Chee Fu, Chunyue Wang
A maximal forward reference of a Web user is a longest consecutive sequence of Web pages visited by the user in a session without revisiting some... Sample PDF
Efficient Web Mining for Traversal Path Patterns
Chapter 16
Bernard J. Jansen, Amanda Spink
This chapter reviews the concepts of Web results page and Web page viewing patterns by users of Web search engines. It presents the advantages of... Sample PDF
Analysis of Document Viewing Patterns of Web Search Engine Users
Chapter 17
Juan M. Hernansaez
In this chapter we focus on the three approaches that seem to be the most successful ones in the Web usage mining area: clustering, association... Sample PDF
A Java Technology Based Distributed Software Architecture for Web Usage Mining
Chapter 18
Yew-Kwong Woon, Wee-Keong Ng, Ee-Peng Lim
The rising popularity of electronic commerce makes data mining an indispensable technology for several applications, especially online business... Sample PDF
Web Usage Mining: Algorithms and Results
Chapter 19
Giuseppe Manco, Riccardo Ortale, Andrea Tagarelli
Personalization is aimed at adapting content delivery to users’ profiles: namely, their expectations, preferences and requirements. This chapter... Sample PDF
The Scent of a Newsgroup: Providing Personalized Access to Usenet Sites through Web Mining
About the Authors