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http://worldcat.org/entity/work/id/763829223

Discovering knowledge in data : an introduction to data mining

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  • "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. --"
  • ""This is a new edition of a highly praised, successful reference on data mining, now more important than ever due to the growth of the field and wide range of applications. This edition features new chapters on multivariate statistical analysis, covering analysis of variance and chi-square procedures; cost-benefit analyses; and time-series data analysis. There is also extensive coverage of the R statistical programming language. Graduate and advanced undergraduate students of computer science and statistics, managers/CEOs/CFOs, marketing executives, market researchers and analysts, sales analysts, and medical professionals will want this comprehensive reference"--"
  • "This is a new edition of a highly praised, successful reference on data mining, now more important than ever due to the growth of the field and wide range of applications. This edition features new chapters on multivariate statistical analysis, covering analysis of variance and chi-square procedures; cost-benefit analyses; and time-series data analysis. There is also extensive coverage of the R statistical programming language. Graduate and advanced undergraduate students of computer science and statistics, managers/CEOs/CFOs, marketing executives, market researchers and analysts, sales analysts, and medical professionals will want this comprehensive reference."

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  • "Ressources Internet"
  • "Livre électronique (Descripteur de forme)"
  • "Livres électroniques"
  • "Ressource Internet (Descripteur de forme)"
  • "Electronic books"
  • "Electronic books"@en

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  • "Discovering knowledge in data : an introduction to data mining"
  • "Discovering knowledge in data : an introduction to data mining"@en
  • "Discovering Knowledge in Data An Introduction to Data Mining"
  • "Discovering Knowledge in Data An Introduction to Data Mining"@en
  • "Discovering knowledge in data an introduction to data mining"
  • "Discovering knowledge in data an introduction to data mining"@en

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