Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner
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Categories: Data mining, Business intelligence. Contributors: Carlo Vercellis - Author. Format: Paperback Find new edition of Data Mining for Business Intelligence here
-Research magazine"Shmueli et al. have done a wonderful job in presenting the field of data mining a welcome addition to the literature."
-computingreviews.comIncorporating a new focus on data visualization and time series forecasting, Data Mining for Business Intelligence, Second Edition continues to supply insightful, detailed guidance on fundamental data mining techniques. This new edition guides readers through the use of the Microsoft Office Excel add-in XLMiner for developing predictive models and techniques for describing and f.
Business Intelligence: Data Mining and Optimization for Decision Making
Categories: Business intelligence, Data mining. Contributors: Carlo Vercellis - Author. Format: Hardcover
Categories: Business intelligence, Data mining. Contributors: Carlo Vercellis - Author. Format: Hardcover
Categories: Business intelligence, Data mining. Contributors: Carlo Vercellis - Author. Format: Hardcover
Categories: Management information systems, Business intelligence. Contributors: Kudyba - Author. Format: Paperback
Data Mining for Business Intelligence Download
-Research magazine"Shmueli et al. have done a wonderful job in presenting the field of data mining a welcome addition to the literature."
-computingreviews.comIncorporating a new focus on data visualization and time series forecasting, Data Mining for Business Intelligence, Second Edition continues to supply insightful, detailed guidance on fundamental data mining techniques br />-Research magazine"Shmueli et al. have done a wonderful job in presenting the field of data mining a welcome addition to the literature."
-computingreviews.comIncorporating a new focus on data visualization and time series forecasting, Data Mining for Business Intelligence, Second Edition continues to supply insightful, detailed guidance on fundamental data mining techniques. This new edition guides readers through the use of the Microsoft Office Excel add-in XLMiner for developing predictive models and techniques for describing and f
