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Statistical data mining using SAS applications/ George Fernandez

By: Material type: TextTextSeries: Data Mining and Knowledge Discovery SeriesPublication details: Boca Raton: CRC Press, 2010Edition: 2ndDescription: xxiii, 443 pages: charts, diagrams, tables; 24 cmISBN:
  • 9781439810750
Subject(s): DDC classification:
  • 23rd 006.312 F364
Contents:
Data Mining: A Gentle Introduction -- Preparing Data for Data Mining -- Exploratory Data Analysis -- Unsupervised Learning Methods -- Supervised Learning Methods: Prediction -- Supervised Learning Methods: Classification -- Advanced Analytics and Order SAS Data Mining Resources
Summary: Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features of user-friendly data mining SAS tools. Integrating the statistical and graphical analysis tools available in SAS systems, the book provides complete statistical data mining solutions without writing SAS program codes or using the point-and-click approach. Each chapter emphasizes step-by-step instructions for using SAS macros and interpreting the results. Compiled data mining SAS macro files are available for download on the author’s website. By following the step-by-step instructions and downloading the SAS macros, analysts can perform complete data mining analysis fast and effectively.
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Holdings
Item type Current library Call number Status Notes Date due Barcode Item holds
Books ISI Library, Kolkata 006.312 F364 (Browse shelf(Opens below)) Available Gifted by Prof. Ashis Kumar Chakraborty C27607
Total holds: 0

Includes bibliography and index

Data Mining: A Gentle Introduction -- Preparing Data for Data Mining -- Exploratory Data Analysis -- Unsupervised Learning Methods -- Supervised Learning Methods: Prediction -- Supervised Learning Methods: Classification -- Advanced Analytics and Order SAS Data Mining Resources

Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features of user-friendly data mining SAS tools. Integrating the statistical and graphical analysis tools available in SAS systems, the book provides complete statistical data mining solutions without writing SAS program codes or using the point-and-click approach. Each chapter emphasizes step-by-step instructions for using SAS macros and interpreting the results. Compiled data mining SAS macro files are available for download on the author’s website. By following the step-by-step instructions and downloading the SAS macros, analysts can perform complete data mining analysis fast and effectively.

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