Description: Overview of Data Mining. Association rules, classification, clustering, regression, patterns, time series. Measuring predictive performance, efficiency, interestingness. Data preparation, data reduction. Mathematical solutions, statistical methods, distance solutions, decision trees, decision rules. Text mining, text categorization. Mining web logs. Case studies. Credit units: 3.
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