Data Mining

Course Description

Data mining is a broad area that integrates techniques from several fields including machine learning, statistics, pattern recognition, artificial intelligence, and database systems, for the analysis of large volumes of data. This course gives a wide exposition of these techniques and their software tools. Topics include association analysis, classification, clustering, numeric prediction, pattern discovery in sequential data, and Bayesian networks.

Tentative Grading

• Home works, Quizzes (30%)
• Project (20%)
• Midterm & Final (50%)