Data Mining Process

For each of the following problem scenarios, decide if a solution would best be addressed with supervised learninig, unsupervised clustering, or database query. If you decide that supervised learning or unsupervised clustering is the best answer, list several input attributes you believe to be relevant for solving the problem.

1. A list of all credit card holders who used their credit card to purchase more thatn RM300 in groceries during the month of October.
2. Develop a general profile for credit card customers who take advantage of promotions offered with their credit card billing.
3. differentiate individuals who are poor credit risks from those who are likely to make their loan payments on time.
4. forcast which telephone subscribers are likely to change providers during the next three months.
5. Estimate the grade-point average (GPA) of a graduate student,based on that students undergraduate GPA.
6. predicting the price of a stock three months into the future