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.

Course Syllabus

Proposed Grades Without Taking Final Exam


Association Rules (PPT format)

Association Rules (Video by L. Powell)

Classification Trees(PPT format)

Classification Trees(Video by L. Powell)

Granular Computing (PPT format)

Reducts and Discretization (PPT format)

Reducts(Video by L. Powell)

Discretization(Video by L. Powell)

LERS/ERID (PPT format)

Mining Incomplete Data (PPT format)

Chase Algorithms (PPT format)

Action Rules and Meta-Actions (PPT format)

Sample Problems I (Midterm Exam) (WORD format)

Sample Problems II (Midterm Exam) (WORD format)

Midterm Exam (WORD format)

Midterm Exam Solutions (WORD format)

Clustering Methods (PPT format)

TV Trees (PPT format)

Clustering I (Textbook)(PPT format)

Clustering I(Video by L. Powell)

Clustering II (Textbook)(PPT format)

Clustering - Sample problems (WORD format)

Evaluation Methods (PPT format)

Temporal DB Mining (PPT format)

Business Analytics (PPT format)

Healthcare Analytics (PPT format)

Sample Problems with Solutions (PDF format)

Sample Problems II (WORD format)

Solutions (WORD format)

Sample Problems III(WORD format)

Sample Problems (Final Exam) (WORD format)

Study Report is required for ADKD Certificate Program students. It should be submitted to "" anytime before the Final exam.


Rubrics will be used for grading the Study Report: Rubrics

Midterm: March 14
Final: May 9 (Thursday), 2:00pm-4:30pm
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

Remark: Final is optional. If you do not take it, then Number of points for Final = Number of points for Midterm Exam

Grades: A [90-100], B [80-89], C [65-79]

Class Location: McEniry 125
Meeting Time: Thursday, 14:30-17:15pm

Instructor:       Zbigniew W. Ras

Location: Woodward Hall 430C
Telephone: 704-687-8574
Office Hours: Thursday: 11:00am-1:00pm

GTA:       Yuehua Duan Office: Location: KDD Lab. (Woodward Hall 402)
Telephone: 704-687-8546
Office Hours: Thursday, 11:00-2:00pm

GTA:       Mayuri Jain Office: Location: KDD Lab. (Woodward Hall 402)
Telephone: 704-687-8546
Office Hours: Monday & Friday, 1:30-3:00PM

Lisp Miner(by Jan Rauch)

Lisp Miner Manual(by Jan Rauch's Student)

Rough Set Exploration System (RSES)

Bratko's ORANGE

Random Forests



More software for data mining

Repository of large datasets

Medical Data

GMU KDD Software

LERS vs ERID (WORD format)

Extracting Rules from Incomplete Table (WORD format)

Lance & Williams Distance (WORD format)