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)
Project and LISp-Miner
You should submit the project report and the dataset you created by email to:
Yuehua Duan at [firstname.lastname@example.org] and Aileen Benedict at [email@example.com].
Deadline to submit: April 30 (Thursday), 2020
Midterm: March 12
Final (WebEx): May 7 (Thursday), 8:00-11:00am
Points: 30 points Test, 30 points Final, 40 points Project
Grades: A [90-100], B [80-89], C [65-79].
Final grades B, C can be replaced by Pass grade.
Class Location: Woodward 140
Meeting Time: Thursday, 8:30-11:15am
Instructor:   Zbigniew W. Ras
Location: Woodward Hall 430C
Office Hours (Woodward 430C): Thursday: 11:30am-1:00pm
Location: KDD Lab. (Woodward Hall 402)
Office Hours (Woodward 402): Tuesday, Thursday: 1pm-3pm