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Mining the World Wide Web

An Information Search Approach

  • Book
  • © 2001

Overview

Part of the book series: The Information Retrieval Series (INRE, volume 10)

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About this book

Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. Mining the World Wide Web presents the Web mining material from an information search perspective, focusing on issues relating to the efficiency, feasibility, scalability and usability of searching techniques for Web mining.
Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval.

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Table of contents (9 chapters)

  1. Information Retrieval on the Web

  2. Data Mining on the Web

  3. A Case Study in Environmental Engineering

Authors and Affiliations

  • Kean University, Union, USA

    George Chang

  • Mobilocity, New York, USA

    Marcus J. Healey

  • New Jersey Institute of Technology, Newark, USA

    James A. M. McHugh, Jason T. L. Wang

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