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Data mining is a process of extracting useful information from large databases in business and non-profit entities. Data mining principles encompass: problem definition, exploratory data analysis, dimension reduction, consideration of alternative models, and calibration of models, evaluation and deployment.Course includes coverage of some of the principal methods used for data mining: classification and regression trees, neural network, association rules (market basket analysis), and clustering. The course will use specialized data mining software to implement steps involved in the data mining process.The course will involve both supervised and unsupervised learning.Students are required to complete a case study using specialized DM software to capture the salient data mining principles covered in the course. Students will learn how to use specialized data mining software in the course.