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

http://registrar.gmu.edu/calendars/2014spring/

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

http://registrar.gmu.edu/calendars/2014spring/exams/

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

Grading:

·        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

http://oai.gmu.edu/the-mason-honor-code/

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