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Table of contents (9 chapters)
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Front Matter
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Information Retrieval on the Web
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Front Matter
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Data Mining on the Web
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Front Matter
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A Case Study in Environmental Engineering
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Mining the World Wide Web
Book Subtitle: An Information Search Approach
Authors: George Chang, Marcus J. Healey, James A. M. McHugh, Jason T. L. Wang
Series Title: The Information Retrieval Series
DOI: https://doi.org/10.1007/978-1-4615-1639-2
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2001
Hardcover ISBN: 978-0-7923-7349-0Published: 31 July 2001
Softcover ISBN: 978-1-4613-5654-7Published: 29 October 2012
eBook ISBN: 978-1-4615-1639-2Published: 06 December 2012
Series ISSN: 1871-7500
Series E-ISSN: 2730-6836
Edition Number: 1
Number of Pages: XVII, 170
Topics: The Computing Profession, Data Structures and Information Theory, Information Storage and Retrieval, Artificial Intelligence