[AISWorld] SAS Enterprise Miner exercises

[Varol Kayhan]

Dear Colleagues,

I recently published my SAS Enterprise Miner teaching notes through 
Google Play for $7.95 (available at: http://tinyurl.com/lvaqtst). This 
"handbook" is geared toward MBA students as well as business students at 
the undergraduate and graduate levels. It consists of two components: 
exercises, and assignments. Exercises provide step-by-step instructions 
on how to use SAS Enterprise Miner, build predictive models, interpret 
the results of models, and tweak model settings. Exercises are also 
designed to develop students' critical thinking abilities by asking them 
to answer questions or interpret certain results. The correct answers of 
these questions/interpretations are also provided in this handbook so 
that they can be used as a learning tool rather than a "click-and-drag" 
exercise.

The second component of this handbook is assignments. Assignments 
require the application of knowledge and skills gained in exercises to 
new problems. They require development of predictive models for new data 
sets, interpretation of results, and making recommendations based on 
findings. Assignments do not provide step-by-step instructions, nor do 
they have correct answers. They can be completed in groups of two 
depending on instructor preferences.

Even though exercises and assignments go hand-in-hand, they are also 
modular in nature. Therefore, the exercise-assignment pair of one 
technique (such as decision tree) is independent of the 
exercise-assignment pair of another technique (such as neural network). 
Therefore, each exercise-assignment pair can be used in a different 
order than they are presented in this handbook.

There is an exercise-assignment pair for each of the following topics:
- Visualization & Outliers & Transformation
- Variable Reduction & Principal Components
- Multiple Regression
- Memory-Based Reasoning (kNN)
- Decision Tree
- Neural Network
- Logistic Regression
- Association Rules
- Cluster Analysis
- Text Mining
- Time Series

If you wish to adopt this handbook for your course, please look at the 
preview provided by Google Play (available at: 
http://tinyurl.com/lvaqtst), or email me for a faculty copy (at 
vkayhan at mail.usf.edu). I will be more than happy to provide a faculty 
copy and discuss any other questions you may have about the use or 
grading of these exercises and assignments.

Sincerely,

Varol Kayhan
Assistant Professor of Information Systems
Kate Tiedemann College of Business
University of South Florida St. Petersburg