ISQS 7342 Business Analytics (Fall 2008)

 

Project Stage One (assignment due Nov 4)

 

There are two choices of the project. You only need to do one of them

 

Type I – Data mining skill-oriented

 

Report a data analysis project applying the decision tree approach. The report will contain the following contents:

1)    Background story of the data analysis project

2)    Business requirements of the project

3)    Exploratory results of the data set

4)    Data analysis techniques applied and performance optimization, such as use of surrogate rule, imputation, etc. Discussions of the effects of different parameters are needed

5)    The analysis outcomes in charts, and explanations

6)    Reference list

 

Extra SAS programming using Proc ARBOR, or elaborate data explanation with advanced concepts are encouraged.

 

Type II – Academic research oriented

 

Develop a research paper proposal for the topic based on the application of decision tree. The completed proposal will cover the following contents:

1)    The research problem

2)    Relevant research work

3)    The methodology and data collection plan

4)    Theory development

5)    Expected research outcomes

6)    Reference list

 

Demonstrative data analysis is encouraged but not mandatory

 

Project Stage Two (assignment due Dec 6)

 

The improvements and extensions from the project in stage one. Alternatively, a new topic is also applicable. Additional requirements:

 

Type I – Data mining skill-oriented

 

1)    Show the applications of advanced data mining concepts and techniques, and, optionally, the optimization modeling.

2)    Well developed explanations of the data analysis

3)    Generalization of the outcomes, and the business value of the project

4)    The improvement of the SAS EM techniques

5)    SAS programming results and experiences

 

Type II – Academic research oriented

 

1)    More specific literature review, covering both advanced techniques and the domain related focuses.

2)    Research methodology

3)    Insights in the context and good discussions of the results

4)    Demonstrative data analysis and data collection plan

5)    Expected publication opportunities

 

The final submission includes the hardcopy, an electronic file, SAS code (if any), and the dataset (if available).