Syllabus St 610 G Applied Data Mining

Class information
1. List of topics
   1. Overview of data mining
   2. Creating data mining diagrams
   3. C.A.R.T.
      • Classification Trees
      • Regression Trees
   4. Discriminant Analysis
   5. Ordinary and Logistic Regression
   6. Neural Networks
   7. Evaluation Methods - ROC etc.
   8. Topics Clustering
   9. Association Analysis
   10. Other topics as time permits.
   
   
2. Requirements for "pass" grade
   (Course is graded on pass-fail basis)
   1. Attend 2/3 of the classes (in body and mind)
      Sign attendance sheet as you come in.
   2. Turn in all assignments with some evidence of effort
   3. Take quiz (if any) - no particular grade required
   
   
3. Text: Applied Analytics Using SAS Enterprise Miner"
   pdf file available for registered course aprticipants
   or purchase from SAS Institute
   
   
4. Course will be hands on, follow along demos.
   
   
5. Enterprise Miner available on SICL machines
   or through VCL
   
   
6. Instructor: David A. Dickey
   Office SAS 5230
   Office hours by appointment
   Phone 515-1925
   
   
7. Class meets
   8:30-9:45 a.m.
   Monday and Wednesday
   SICL comuter lab (1107 SAS Hall)