Every business project starts with a business problem. You need to select a business problem that can be addressed through data mining. You receive 30 extra points if your topic is novel. Finding a data source is the next step. Your proposal should clearly address the following:

Significance of the problem (10 points)

Expected outcomes (10 points)

Variable descriptions (not just list, full description) (5 points)

Method of analysis (5 points). Choose one (or more for extra credit) of the following:

o Classification

o Regression

o Clustering

If you use a predictive method (i.e., classification or regression), you need to clearly identify your dependent variable. Submit your proposal as a PDF file as well as your dataset as two separate files (not a zip file).

Note: analysis of time-series data (such as stock prices) requires advanced methods and cannot be done using linear models such as linear regression. Kaggle and UCI Machine Learning Repository are 2 websites that contain a large number of datasets.