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Daniel Larose, PhD. Professor of Statistics and Data Science. Founder, Data Mining @CCSU. Central Connecticut State University. Chantal Larose, PhD. Asst Prof of Statistics and Data Science. Eastern Connecticut State University. The adopter's resources are only for professors who adopt the book for their courses.

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Data Mining: Practical Machine Learning Techniques for CRM - Home

Data Mining: Practical Machine Learning Techniques for CRM. Classifying Machine Learning Problems. When approaching CRM analysis using machine learning, it helps to first understand and categorize the problem. Each of the quadrants in the diagram below has it's own unique set of data collection and processing requirements. Problems result in labeling data. Problems result in making a numeric prediction, such as a probability. Opportunity Win/Loss (Batch Classification):. A call center may make make predi...

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Data Mining

Saturday, January 8, 2011. Scoring Association Rules - You Must Know. At M2009 (SAS's data mining conference), I was approached with the question of scoring association rules for customers. This is not a topic I have thought about very much. More typically, association rules are used qualitatively or to understand products. I hadn't thought about assigning the "best" rule (or rules) back to customers. Using SQL and Excel. However, data mining tools do not provide the ability to score association rules fo...

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