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Discovering knowledge in data : an introduction to data mining, second edition / Daniel T. Larose, Chantal D. Larose.

By: Contributor(s): Material type: TextTextSeries: Wiley series on methods and applications in data miningPublication details: Hoboken : John Wiley & Sons : IEEE Computer Society, c.2014.Edition: 2nd edDescription: xviii, 316 p. : ill. ; 24 cmSubject(s): DDC classification:
  • 006.312 22 LAR
Summary: This book provides the tools needed to thrive in today's big data world. The author demonstrates how to leverage a company's existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will "learn data mining by doing data mining". By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, the second edition remains the eminent reference on data mining. It offers an appendix on data summarization and visualization as well as extensive coverage of the R statistical programming language as well as 280 end-of-chapter exercises. --
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Holdings
Item type Current library Collection Call number Vol info Status Date due Barcode Item holds
Book - Borrowing Book - Borrowing Central Library Lower Floor Baccah 006.312 LAR (Browse shelf(Opens below)) 2000088 Available 000034958
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Includes bibliographical references and index.

This book provides the tools needed to thrive in today's big data world. The author demonstrates how to leverage a company's existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will "learn data mining by doing data mining". By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, the second edition remains the eminent reference on data mining. It offers an appendix on data summarization and visualization as well as extensive coverage of the R statistical programming language as well as 280 end-of-chapter exercises. --

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