ITCS6155

Knowledge Systems Spring 2016

The class does not require any textbook.

Course Outline

Lectures and Papers

Construction of Decision Trees (PPT format)
Association Rules (PPT format)
Rough Sets (PPT format)
Sample Problems (WORD format)
RSES - Reducts and Discretization (PPT format)
Sample Problems (WORD format)
ERID & Chase Algorithms (PPT format)
Sample Problems (PDF format)
Action Rules(PPT format)
Sample Problems (WORD format)
Query Processing Based on Reducts (PPT format)
Failing Queries (PPT format)
Precision and Recall (PPT format)
Query Semantics (Word format)
Sample Problems (Word format)
Data Security (PPT format)
SCIKD Algorithm (Sample Problem) (WORD format)
TV-Trees (PPT format)
Sample Problems (Word format)
Improving Promoter Score (PPT format) Research on NPS
Readmissions to Hospitals (PPT Format)
Final Exam Sample Problems I (WORD format)
Final Exam Sample Problems II (PDF format)

List of Students

Dataset for optional projects:
Random sample of 200K records of Surgery Data in CSV format
Clinical Classifications Software (CCS)
Larger HCUP datasets are available at: http://www.hcup-us.ahrq.gov/databases.jsp

Software

Timetable & Information about Test, Project, and Grading

Classes begin: May 17 (Tuesday), 2016
Class days/hours/place:
May 17, 19, 24, 31, June 2,7,9,14,16; Lecture 17:15-18:30; 18:45-19:45; Room 146
Attendance [maximum 20 points]
Exam (written): June 16 (Tuesday), Room 146, 17:15-19:45 [maximum 80 points]
Final Grades & Oral Exam (if you want to improve your grade): June 28 (Tuesday), Room 317, 17:00-19:30

Grade 5 - (85-100 points), Grade 4 - (70-84 points), Grade 3 - (50-69 points).