ISQS 7339 Business
Analytics (Fall 2009)
(To be refined)
Project Stage One (assignment due Oct
27)
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 5)
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).