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Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition
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Randy Collica is a Principal Solutions Architect at SAS supporting the retail, communications, consumer, and media industries. His research interests include segmentation, clustering, ensemble models, missing data and imputation, Bayesian techniques, and text mining for use in business and customer intelligence. He has authored and coauthored 11 articles and 2 books. He holds a US patent titled a oeSystem and Method of Combining Segmentation Data.a He received a BS degree in electronic engineering from Northern Arizona University.

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