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CS 632I Textual and Numerical Data Mining with Industry Applications

Course Description : Comprehensive introduction to data mining with particular emphasis on the analysis of unstructured data. Data pre-processing and exploratory analysis, unsupervised and supervised methods, decision trees, clustering and association rules. Applications on textual information with text similarity and text-classification within the life-science industry. Course Rotation: Every Fall

Credits

3 credits