Knowledge Discovery in Databases - KDD
Prerequisites: ITCS6160, full graduate standing or content of the department.
Textbook: "Introduction to Data Mining", by Pang-Ning Tan, Michael Steinbauch,
Vipin Kumar, Addison Wesley.
Reducts(Video by L. Powell)
Study Report is required for ADKD Certificate Program students. It should be submitted to "email@example.com" anytime before the Final exam.
Project (maximum 4 students in a group: Use Lisp Miner (http://lispminer.vse.cz/) to extract 15-20 action rules from the dataset of your choice. The dataset should contain minimum 500 tuples. Large variety of datasets is available on http://kdd.ics.uci.edu/
Lisp Miner manual: https://webpages.uncc.edu/ras/Paper-AR.pdf
Your documentation should explain the process of action rules discovery used by Lisp Miner and with each discovered action rule, its meaning/interpretation should be provided.
Deadline for project submission: November 30, 2018
Rubrics will be used for grading the Study Report and the Project:
Midterm: October 17
Final: December 12 (Wednesday), 2:00pm-4:30pm
Alternate Final (for students having two overlapping exams): December 13 (Thursday), 2:00-4:30pm, COED 038
Points for MS/PhD students: 30 points Test, 30 points Final, 30 points Project, 10 points Attendance
Points for ADKD students (not in MS/PhD Program): 30 points Test, 30 points Final, 30 points Project + Study Report, 10 points Attendance
Grades: A [90-100], B [80-89], C [65-79]
Instructor:   Zbigniew W. Ras
Location: Woodward Hall 430C
Office Hours: Tuesday: 10:00am-12:00pm, 2:00-3:00pm
Location: KDD Lab. (Woodward Hall 402)
Office Hours: Thursday, 12:00-4:00pm