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The focus of data preparation for the team had been in processing, combining and deriving interesting variables as potential predictors. Business analytics using data mining galit shmueli. The emphasis is on understanding the application of a wide range of modern techniques to specific decisionmaking situations, rather than on mastering the theoretical underpinnings of the techniques. The authors use interesting, realworld examples to build a theoretical and practical understanding of key data mining methods, with a focus on analytics rather than programming. Data mining for business analytics galit shmueli pdf concepts. She is coauthor of the bestselling textbook data mining for business analytics, among other books and numerous publications in top journals. She has designed and instructed courses on forecasting, data mining, statistics and other data analytics topics at. Concepts, techniques, and applications in microsoft office excel with xlminer. Read data mining for business analytics pdf concepts, techniques, and applications with xlminer by galit shmueli wiley data mining for. The book guides readers through the use of python software for developing predictive models and techniques in order to describe and find patterns in data. Data mining concepts and techniques 4th edition pdf. The course covers data mining techniques and their use in strategic business decision making. Galit shmueli is distinguished professor at the institute of service science, she is coauthor of the bestselling textbook data mining for business analytics.

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