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Springer - Mining the World Wide Web: An Information Search Approach

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Description

Explore the evolving field of Web mining with this academic resource from Springer. As a rapidly growing area of computer science research, Web mining requires a deep understanding of multiple disciplines. This book provides a comprehensive look at the subject through the lens of an information search approach. Readers will examine the core concepts and techniques that drive Web mining technology. The text connects various scientific areas, including artificial intelligence, machine learning, and information retrieval, to provide a complete picture of the landscape. By focusing on the efficiency and feasibility of information search, this volume serves as a foundational guide for those studying how data is extracted and utilized across the internet. Whether you are researching data warehousing, pattern recognition, or Web technology, this book offers a structured perspective on the multidisciplinary nature of the field. It is an essential addition for students and professionals interested in how statistics, databases, and markup languages converge to make sense of the World Wide Web.

Key Features

Provides a multidisciplinary perspective by drawing on artificial intelligence, machine learning, and statistics.

Focuses on the information search approach to address issues regarding efficiency and feasibility in Web mining.

Covers essential technical areas including databases, data warehousing, and data visualization.

Explores the integration of pattern recognition, markup languages, and Web technology research.

Part of The Information Retrieval Series, offering a specialized look at computer science research.

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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