DSC 511 - Advanced Data Mining Algorithms and Applications

Graduate standing. (4)

Study of the extraction of useful patterns from raw data using statistical techniques and machine learning methods. Topics include fundamental steps for exploratory data analysis including data pre-processing and visualization, dimension reduction and data transformation, and a variety of supervised and unsupervised machine learning methods such as classification, prediction and cluster analysis. Students gain hands-on experience by implementing methods covered on various platforms. Not open to students with credit for CSC 487/DSC 387/DSC 411. Graded ABCDE