CSE-5334 Data Mining

MW 2:30pm - 3:50pm College Hall, Room 106

Announcement: The midterm Q&A handout is available here The final exam will be on Monday, Dec. 10, from 2:00pm to 4:30pm, at CH 106. The final review handout is available here. Slides of all chapters and all homeworks are now available here (please click on the chapter numbers for the pdf files). Midterm review handout is available here. Project proposal is due on Wednesday, October 3: Please turn in hard copy in class. Project information is now available here.

Instructor: Nan Zhang Office: 306 NH, (817) 272-3334 email: nzhang at uta.edu Office Hours: MW 4:00pm - 5:00pm

TA: Young Bun Kim Office: 234 NH email: ybkim at uta.edu Office Hours: MW 11:00am - 12:00pm

Course Objective: Data mining aims to extract knowledge or interesting pieces of information from large amounts of data. This is an introductory course on data mining. We will cover the following topics: introduction to data mining concepts, data preprocessing, data warehousing and online analytical processing (OLAP), association rule mining and correlation analysis, classification and prediction, cluster analysis, and mining complex types of data. Textbook: Han and Kamber, Data Mining: Concepts and Techniques, 2nd ed. Morgan Kaufmann, 2006. Optimal Readings: Tan, Steinbach, and Kumar, Introduction to Data Mining, Addison-Wesley, 2005. Hand, Mannila, and Smyth, Principles of Data Mining, MIT Press, 2001. Mitchell, Machine Learning, McGraw-Hill, 1997. Please check back for updates.