Fall   2009

Data Mining - 71086 - INFS 755 - 001

Prerequisite:  STAT 344 and INFS 614.

Instructor:  Prof. Harry Wechsler http://cs.gmu.edu/~wechsler/

Time, Day, and Venue: T – Tuesday, 4:30 pm - 7:10 pm, Innovation Hall 204

[no class on Tuesday, October 13, due to Columbus Day]

[last  day of classes, Tuesday, December 8]

http://registrar.gmu.edu/calendars/2009Fall.html

Office Hours: Tuesday, 3:15 pm – 4:15 pm (ENGR - 4448)

Textbook:

Tan, Steinbach and Kumar, Introduction to Data Mining, Pearson / Addison Wesley, 2006

textbook  slides: http://www-users.cs.umn.edu/~kumar/dmbook/

References

WEKA web site for data mining software

http://www.togaware.com/datamining/survivor/Weka.html

UCI Machine Learning Repository Content Summary

http://www.ics.uci.edu/~mlearn/MLSummary.html

Syllabus:

      databases,   data warehousing, data mining, knowledge discovery, and the Semantic Web  (W3C)  http://www.w3.org/2001/sw

      prediction, model selection, validation, and performance evaluation

      data exploration

      data reduction and transformation

      classification

      association

      clustering

      anomaly detection

      applications: biometrics and social networks

Grading:

      Homework Assignments 15 %

      Mid Term June 9 25 %

      Term TEAM Project 30 %

      Final   ­http://registrar.gmu.edu/calendars/200970_exam.pdf Tuesday, December 15  30 %

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://academicintegrity.gmu.edu/honorcode/.

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