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Data miners, data scientists, analytic managers, and analysts who work in all industries will learn how to use existing data at aggregate levels to answer high-level business questions.

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9781629592992

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Randy Collica received a BS in electronic engineering from Northern Arizona University in 1982. He has 16 years' experience in the semiconductor manufacturing industry working on yield and product and quality engineering. From 1998 to 2010 he worked for Compaq and Hewlett-Packard as a senior business analyst using data mining techniques for customer analytics in the Corporate Customer Intelligence department. He is currently a senior solutions architect for SAS Institute Inc., supporting the communications, entertainment/media and high-tech manufacturing industries. His current interests are in clustering and ensemble models, knowledge and data engineering, missing data and imputation, and text mining techniques for use in business and customer intelligence. He has authored and coauthored many articles and has written two books, and he has been a full member of the IEEE since 1982.

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