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Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage

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This text demonstrates how to extract knowledge by finding meaningful connections among data spread throughout the Web. Readers learn methods and algorithms from the fields of information retrieval, machine learning, and data mining which, when combined, provide a solid framework for mining the Web. The authors walk readers through the algorithms with the aid of examples and exercises.

Author(s): Zdravko Markov, Daniel T. Larose
Series: Wiley series on methods and applications in data mining
Publisher: Wiley-Interscience/John Wiley & Sons
Year: 2007

Language: English
Pages: 236
City: Hoboken, N.J