CISC 483-683 Data Mining
Home Page Fall 2012

Overview:

Data Mining attempts to identify interesting structural patterns in large data sets that can be used to make future predictions. For example, one might analyze supermarket data to determine what items are typically purchased with other items, and then display those items together to encourage more customers to purchase both items. Data mining is becoming increasingly important in many environments; a few of these include advertising, banking, bioinformatics, business, security, and web page design, but there are many others.

This course will introduce fundamental strategies and methodologies for data mining along with the concepts underlying them, and will provide hands-on experience with a variety of different techniques. Students will learn to use the Weka workbench, a set of data mining tools. The undergraduate version, CISC-483, has been approved as a technical elective for undergraduate computer science majors.

Announcements

• All assignments must be turned in as hardcopy. Please do not submit them electronically since then the TA needs to print them.
• The first midterm exam will be given in class on Thursday, October 11. Makeup exams will be given only in dire circumstances such as hospitalization.
• The second midterm exam will be given in class on Thursday, Nov. 8. Makeup exams will be given only in dire circumstances such as hospitalization.