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Springer Mining the World Wide Web: Information Search Approach

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Description

Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a rapidly growing field of computer science research that draws on artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. This volume in The Information Retrieval Series presents Web mining material from an information search perspective, focusing on issues relating to efficiency and feasibility in modern Web research and data extraction methodologies.

Key Features

Springer publication offering comprehensive coverage of Web mining concepts and techniques for information retrieval professionals.

Volume 10 in The Information Retrieval Series, providing structured exploration of multidisciplinary Web mining approaches.

Integrates artificial intelligence, machine learning, and data mining methodologies within Web mining framework.

Addresses practical efficiency and feasibility concerns for implementing Web mining in information search applications.

Covers data visualisation and pattern recognition techniques essential for extracting value from Web-based data sources.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 July 2001
Listed Since
15 February 2007

Barcode

No barcode data available

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