Web Mining : Applications and Techniques

Title

Web Mining : Applications and Techniques

Files

Description

Edited by Anthony Scime.

"Web Mining Applications and Techniques offers an orthogonal approach to Web personalization, after an introduction to the need for Web mining and personalization, specific applications and techniques in Web content mining. Researchers and students in the fields of information and knowledge creation, storage, dissemination, and retrieval in various disciplines will find this book a starting point for new research. Developers and managers of Web technologies involved with content development, storage, and retrieval will be able to use this book to advance the state of the art in Web utilization."--Book jacket

Dr. Anthony Scime received the Doctor of Arts in 1997 from George Mason University with an interdisciplinary focus in Information Systems and Education. Currently he is at the Computer Science Department of the State University of New York College at Brockport; where he teaches courses in systems analysis and design, project management, and computer systems organization. Prior to joining academia he spent over 20 years in industry and government applying information systems to solve large-scale problems. He is an Internationally Registered Technology Specialist (IR7) in the fields of Information Systems and Knowledge Management, and has been listed in the International Who’s Who of Information Technology. His research interests include the World Wide Web as an information system and database, information retrieval, knowledge creation and management, decision making from information, and computing education.

ISBN

1591404150

Publication Date

2005

Publication Information

Hershey PA : Idea Group Pub., c2005.

x, 427 p. : illustrations ; 26 cm.

Disciplines

Computer Engineering

Department

Computer Science

Comments

Located in Drake Library at: QA76.76.E95 W43 2005

CONTENTS: Metadata Management: A Requirement for Web Warehousing and Knowledge Management / Gilbert W. Laware -- Mining for Web Personalization / Penelope Markellou, Maria Rigou, Spiros Sirmakessis -- Content Mining -- Using Context Information to Build a Topic-Specific Crawling System / Fan Wu, Ching-Chi Hsu -- Ontology Learning from a Domain Web Corpus / Roberto Navigli -- MARS: Multiplicative Adaptive Refinement Web Search / Xiannong Meng, Zhixiang Chen -- Exploiting Captions for Web Data Mining / Neil C. Rowe -- Towards a Danger Theory Inspired Artificial Immune System for Web Mining / Andrew Secker, Alex A. Freitas, Jon Timmis -- XML Semantics / Yasser Kotb, Katsuhiko Gondow, Takuya Katayama -- Classification on Top of Data Cube / Lixin Fu -- Structure Mining -- Data Cleansing and Validation for Multiple Site Link Structure Analysis / Mike Thelwall -- Extracting and Customizing Information Using Multi-Agents / Mohamed Salah Hamdi -- Web Graph Clustering for Displays and Navigation of Cyberspace / Xiaodi Huang, Wei Lai -- Usage Mining -- Integrating Semantic Knowledge with Web Usage Mining for Personalization / Honghua Dai, Bamshad Mobasher -- Web Usage Mining in Search Engines / Ricardo Baeza-Yates -- Efficient Web Mining for Traversal Path Patterns / Zhixiang Chen, Richard H. Fowler, Ada Wai-Chee Fu, Chunyue Wang -- Analysis of Document Viewing Patterns of Web Search Engine Users / Bernard J. Jansen, Amanda Spink.