(3 units). Concepts and techniques of data mining. Methods for data summarization and data preprocessing. Algorithms for finding frequent patterns and association analysis; classification; cluster analysis and anomaly detection. Model selection, model evaluation and statistical significance testing. Approaches for coping with Big Data. Selected applications of data mining and concept learning. This course is equivalent to COMP 5706 at Carleton University. Course Component: Lecture Permission of the Department is required. Courses CSI 5387, DTO 5125, GNG 5125 cannot be combined for units.
(3 units). Concepts and techniques of data mining. Methods for data summarization and data preprocessing. Algorithms for finding frequent patterns and association analysis; classification; cluster analysis and anomaly detection. Model selection, model evaluation and statistical significance testing. Approaches for coping with Big Data. Selected applications of data mining and concept learning. This course is equivalent to COMP 5706 at Carleton University. Course Component: Lecture Permission of the Department is required. Courses CSI 5387, DTO 5125, GNG 5125 cannot be combined for units.
