CS 659 - Spring   2014

Theory / Application Data Mining – CRN 14797 – CS 659 - 001

Prerequisites: CS 580

Instructor:  Prof. Harry Wechsler wechsler@gmu.edu

Course Description Course covers concepts and techniques in data analytics for multidisciplinary applications. Topics include basics in probability, statistics, and information theory; model selection, prediction, and training and validation strategies; data representation, cleaning, and transformation; data classification and discrimination; association and correlation rules; data grouping and clustering; competitive learning and self-organization; ensemble and voting methods; performance evaluation; data mining supporting diverse applications including text (“documents”), security (“spam and phishing detection”), and images (“biometrics”); and emerging themes and future challenges (lack of annotation, unbalanced populations, uncontrolled settings, anomaly detection, and interoperability). Team (term) project required.


Time, Day, and Venue: W – Wednesday, 4:30 – 7:10 pm,

Exploratory Hall L111


Office Hours: W – Wednesday, 3:00 – 4:00 pm, ENGR 4448


TA: Tanwistha Saha tsaha@masonlive.gmu.edu : Time&Venue: TBD


First day of classes: Wednesday, January 22

Spring Break [March 10 – 16]: no class on Wednesday, March 12

Last day of classes: Wednesday, April 30


Final Exam: Wednesday, May 7, 4:30 – 7:15 pm

Office Hours:  Wednesday, 3:00 – 4:00 pm (ENGR - 4448)

Textbook:  Data Mining by Witten, Frank, and Hall, 3rd ed., Elsevier 2011.

Textbook Website (including slides): http://www.cs.waikato.ac.nz/~ml/weka/book.html


·        Homework 30%

·        Mid Term Wednesday, March 5 20 %

·        Team Project ­Class Presentation, April 23 & 30 30%

·        Final   Wednesday, May 7 - 20 %

Honor Code

You are expected to abide by the GMU honor code. Homework assignments and exams are individual efforts. Information on the university honor code can be found at


Additional departmental CS information: http://cs.gmu.edu/wiki/pmwiki.php/HonorCode/CSHonorCodePolicies