Kagarisar Though not rich in mathematics, I think it can be a great start for beginners in data infelligence. From clustering customers into market segments and finding the characteristics of frequent flyers shmuei learning what items are purchased with other items, the authors use interesting, real-world examples to build a theoretical and practical understanding of key data mining methods, including classification, prediction, and affinity analysis as well as data reduction, exploration, and visualization. Kenneth Howrey rated it liked it Jun 07, Each chapter concludes with exercises that allow readers to assess their comprehension of the presented material. To see intelliggence your friends thought of this book, please sign up. Business Analytics Using Data Mining Take a look at presentations and brief reports for some projects of past students. 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 finding patterns in data.
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Business Analytics Using Data Mining
Data Mining for Business (UMD)