DSBA/ITCS 6162/8162
Knowledge Discovery in Databases - KDD
Prerequisites: ITCS6160, full graduate standing or content of the department.
Textbook (not required): "Introduction to Data Mining", by Pang-Ning Tan, Michael Steinbauch,
Vipin Kumar, Addison Wesley.
Course Syllabus
Lectures (Class Videos available on LINK)
Project
Project and LISp-Miner
Upload the project report and the dataset you created to Canvas or send them to
Sapna Pareek at [spareek@uncc.edu]
not later than December 3 (Friday), 2021
Project Rubric
Midterm (on Canvas): November 2
Final (on Canvas): December 14
Points: Midterm - 30 points, Final - 30 points, Project - 40 points
Grades: A [90-100], B [80-89], C [65-79].
Class Location - https://uncc.zoom.us/j/94554407742
Meeting Time: Tuesday, 1:00am-3:45pm
Instructor:   Zbigniew W. Ras
Office: Woodward Hall 430C
Telephone: 704-687-8574
e-mail: ras@uncc.edu
Office Hours on ZOOM: https://uncc.zoom.us/j/98763508031
Tuesday: 11:30-12:45pm
GTA:
  Sapna Pareek
Office Hours on ZOOM:
Monday: 5:00-7:00pm, Friday: 2:30-4:30pm
e-mail: spareek@uncc.edu
[1] Lisp Miner(by Jan Rauch)
[2] Lisp Miner Manual(by Jan Rauch's Student)
[3] Rough Set Exploration System (RSES)
[4] Software for data mining
[5] Repository of large datasets
[6] LERS vs ERID
[7] Extracting Rules from Incomplete Table
[8] Lance & Williams Distance
[9] Sample Problems for Midterm Exam