Module 3 Lecture Schedule (Data Mining)

Date Topics Assignment Reading Computer
4/7 Introduction; Software setup   Two Crows tutorial booklet  
4/9 Importing data and drawing samples   Using Enterprise Miner (UEM)
pp. 18-22
SAS libraries and data
4/11 Exploring data; Transforming data Hw1, due 4/25 UEM: pp. 23-25, 32-45 A SAS/Insight window
4/14 Regression; Assessing results   UEM: pp. 26-31  
4/16 Regression; Replacement; Assessment   UEM: pp. 46-53  
4/18 Replacement;
Model Selection
  UEM: pp. 54-57  
4/21 Model Selection;
Neural Networks
  UEM: pp. 61-63; 77-82  
4/23 Neural Networks;
Tree models
  UEM: pp. 58-60 Datasets from KDnuggets
4/25 Scoring Hw1 due UEM: pp. 64-72  
4/28 Reporter Hw2, due 5/9 UEM: pg. 73  
4/30 Filtering outliers; Target Profiles      
5/2 Clustering   UEM: pp. 83-98  
5/5 Target Profiles   .  
5/7 Work on projects      
5/9 Conclusion Hw2 due;
Hw2 solution;
Project instructions