CEMA 4300 - Introduction to Data Mining (3)
Prerequisites: C or better in COMP 2810 . Data Mining is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. It refers to the process of automatic discovery of patterns and knowledge from large data repositories including databases, data warehouses, web, document collections and data streams. It will cover the basic topics of data mining, including data preprocessing, data warehousing and OLAP, data cube, frequent pattern and association rule mining, correlation techniques and applications of data mining in Web, text, big data, social networks, and computational advertising.
Click here for the Fall 2019 Class Schedule