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Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying opensource software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroomtested, the text is ideal for students in customer and business analytics or applied data mining as well as professionals in small to mediumsized organizations.The book offers an intuitive understanding of how different analytics algorithms work. Where necessary, the authors explain the underlying mathematics in an accessible manner. Each technique presented includes a detailed tutorial that enables handson experience with real data. The authors also discuss issues often encountered in applied data mining projects and present the CRISPDM process model as a practical framework for organizing these projects.Showing how data mining can improve the performance of organizations, this book and its Rbased software provide the skills and tools needed to successfully develop advanced analytics capabilities.
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