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Web mining applications and techniques /

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...

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Bibliographic Details
Corporate Author: IGI Global.
Other Authors: Scime, Anthony, 1952-
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2005.
Subjects:
Data mining.
Web databases.
Online Access:View fulltext via EzAccess
Table of Contents:
  • I. Metadata management / Gilbert Laware
  • II. Mining for web personalization / Penelope Markellou, Maria Rigou, Spiros Sirmakessis
  • III. Using context information to build a topic-specific crawling system / Fan Wu, Ching-Chi Hsu
  • IV. Ontology learning from a domain web corpus / Roberto Navigli
  • V. Mars / Xiannong Meng, Zhixiang Chen
  • VI. Exploiting captions for web data mining / Neil Rowe
  • VII. Towards a danger theory inspired artificial immune system for web mining / Andrew Secker, Alex Freitas, Jon Timmis
  • VIII. XML semantics / Yasser Kotb, Katsuhiko Gondow, Takuya Katayama
  • IX. Classification on top of data cube / Lixin Fu
  • X. Data cleansing and validation for multiple site link structure analysis / Mike Thelwall
  • XI. Extracting and customizing information using multi-agents / Mohamed Hamdi
  • XII. Web graph clustering for displays and navigation of cyberspace / Xiaodi Huang, Wei Lai
  • XIII. Integrating semantic knowledge with web usage mining for personalization / Honghua Dai
  • XIV. Web usage mining in search engines / Ricardo Baeza-Yates
  • XV. Efficient web mining for traversal path patterns / Zhixiang Chen, Richard Fowler, Ada Fu, Chunyue Wang
  • XVI. Analysis of document viewing patterns of web search engine users / Bernard Jansen, Amanda Spink
  • XVII. A Java technology based distributed software architecture for web usage mining / Juan Hernansaez
  • XVIII. Web usage mining / Yew-Kwong Woon, Wee-Keong Ng, Ee-Peng Lim
  • XIX. The scent of a newsgroup / Giuseppe Manco, Riccardo Ortale, Andrea Tagarelli.

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