
Gifting Made Simple
Give the Gift of ChoiceClick below to purchase a Prairie Mall eGift Card that can be used at participating retailers at Prairie Mall.Buy Gift CardHome
Data Mining with SPSS Modeler: Theory, Exercises and Solutions
Coles
Loading Inventory...
Data Mining with SPSS Modeler: Theory, Exercises and Solutions in Grande Prairie, AB
Current price: $159.50

Coles
Data Mining with SPSS Modeler: Theory, Exercises and Solutions in Grande Prairie, AB
Current price: $159.50
Loading Inventory...
Size: Hardcover
*Product information and pricing may vary - to confirm current pricing, availability, shipping, and return information please contact Coles. In the event of a pricing discrepancy, the retailer's price will apply.
Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data mining processes and relevant statistical methods. Focusing on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs, it also features a variety of exercises and solutions, as well as an accompanying website with data sets and SPSS Modeler streams. While intended for students, the simplicity of the Modeler makes the book useful for anyone wishing to learn about basic and more advanced data mining, and put this knowledge into practice. This revised and updated second edition includes a new chapter on imbalanced data and resampling techniques as well as an extensive case study on the cross-industry standard process for data mining.
Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data mining processes and relevant statistical methods. Focusing on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs, it also features a variety of exercises and solutions, as well as an accompanying website with data sets and SPSS Modeler streams. While intended for students, the simplicity of the Modeler makes the book useful for anyone wishing to learn about basic and more advanced data mining, and put this knowledge into practice. This revised and updated second edition includes a new chapter on imbalanced data and resampling techniques as well as an extensive case study on the cross-industry standard process for data mining.






















