SAS Enterprise Miner Demonstrations

Note: Some of the following demonstrations are based on SAS Enterprise Miner 5.3, but the interface is basically the same as SAS Enterprise Miner 6.x

 

0. Getting Started with SAS Enterprise Miner

 

0.1 Citrix based SAS Enterprise Miner 6.1 337

0.2 SAS EM 5.3 - Define a project 916

0.3 SAS EM 5.3 - Data exploration 1058

1. Predictive Modeling

 

1.1 Decision Trees

1.1.1 Decision Tree modeling 839

1.1.2 Decision Tree modeling (Replacement Node configuration) 544

1.1.3 Decision Tree modeling (Maximal Decision Tree) 400

 

1.2 Exercise 1

1.2.1 Define the model 257 (mp4)

1.2.2 Define the decision matrix 315

 

1.3 Logistic regressions

1.3.1 Imputation for missing values 350

1.3.2 The effect of imputation in improving the performance of logistic regression 452

1.3.3 Variable selection with the stepwise approach 208

1.3.4 Optimizing the complexity of logistic regression modeling 516

1.3.5 The best sequence model 332

1.3.6 Handling extreme or unusual values 556 (more 150)

1.3.7 Understanding the data mining results 743 (more 229)

 

 

1.4 Classification Model Assessment

1.4.1 Model Assessment Settings 831

1.4.2 Examine the Results 437

 

(The scripts may not cover all contents in the book. It is not hard please read the SAS Course Notes if needed.)