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    Data Mining the Web

Data Mining the Web

Zdravko Markov, Daniel T. Larose
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      This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance).
      Format: CONTRIBUTORS: Zdravko Markov, Daniel T. Larose EAN: 9780471666554 COUNTRY: United States PAGES: WEIGHT: 544 g HEIGHT: 239 cm
      PUBLISHED BY: John Wiley & Sons Inc DATE PUBLISHED: 2007-05-18 CITY: GENRE: COMPUTERS / Data Science / Data Analytics WIDTH: 164 cm SPINE:

      Book Themes:

      Mathematics, Biology, life sciences, Business applications

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      Zdravko Markov, PhD, is Associate Professor of Computer Science at Central Connecticut State University. The author of three textbooks, Dr. Markov teaches undergraduate and graduate courses in computer science and artificial intelligence. He is currently a Principal Investigator (PI) in a National Science Foundation–funded project designed to introduce machine learning to undergraduates. Daniel T. Larose, PhD, is Professor of Statistics in the Department of Mathematical Sciences at Central Connecticut State University. He is the author of three data mining books and a forthcoming textbook in undergraduate statistics. He developed and directs CCSU's DataMining@CCSU programs.
      This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance).
      Format: CONTRIBUTORS: Zdravko Markov, Daniel T. Larose EAN: 9780471666554 COUNTRY: United States PAGES: WEIGHT: 544 g HEIGHT: 239 cm
      PUBLISHED BY: John Wiley & Sons Inc DATE PUBLISHED: 2007-05-18 CITY: GENRE: COMPUTERS / Data Science / Data Analytics WIDTH: 164 cm SPINE:

      Book Themes:

      Mathematics, Biology, life sciences, Business applications

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      Zdravko Markov, PhD, is Associate Professor of Computer Science at Central Connecticut State University. The author of three textbooks, Dr. Markov teaches undergraduate and graduate courses in computer science and artificial intelligence. He is currently a Principal Investigator (PI) in a National Science Foundation–funded project designed to introduce machine learning to undergraduates. Daniel T. Larose, PhD, is Professor of Statistics in the Department of Mathematical Sciences at Central Connecticut State University. He is the author of three data mining books and a forthcoming textbook in undergraduate statistics. He developed and directs CCSU's DataMining@CCSU programs.

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