DSBA/HCIP/ITCS6162/ITCS8162

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



Lectures

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 "ras@uncc.edu" anytime before the Final exam.


Project


Rubrics will be used for grading the Study Report: Rubrics


Midterm: October 9
Final: Dec 11 (Wednesday), 5:00pm-7:30pm
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


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


Class Location: City 602
Meeting Time: Wednesday, 5:30-8:15pm



Instructor:       Zbigniew W. Ras

Office:
Location: Woodward Hall 430C
Telephone: 704-687-8574
Office Hours (City 714): Wednesday (Except October 9, Last one - Nov 20), 4:00-5:15pm
Office Hours (Woodward 430C): Thursday: 11:30am-1:00pm
e-mail: ras@uncc.edu


GTA:       Varsha Maurya

Office:
Location: KDD Lab. (Woodward Hall 402)
Telephone: 704-687-8546
Office Hours (Woodward 402): Thursday: 1pm-4pm
e-mail: vmaurya1@uncc.edu


Lisp Miner(by Jan Rauch)

Lisp Miner Manual(by Jan Rauch's Student)

Rough Set Exploration System (RSES)

Bratko's ORANGE

Random Forests

WEKA

iAQ

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)