CS 6666 - Data Mining - Principles and Algorithms

Effective Start Date: 01/01/2020
This graduate-level course introduces the fundamental techniques, algorithms, and applications of data mining. Topics to be covered include frequent pattern mining, clustering, classification, anomaly detection, feature selection, graph and network analysis, correlation analysis, distance/similarity metric learning, streaming data mining, spatiotemporal data mining, visualization of patterns, recommendation systems, and evaluation and validation.

Credits: 3
Grading Basis: Graded