Match the following business applications to their suitable data mining techniques or models.

1. Estimation analysis

2. Forecasting model

3. Cluster analysis

4. Optimization model

5. Market basket analysis

6. Classification analysis

A.	A sales person in an insurance company tries to identify customer who are likely buy life insurance, given that they already purchased accident insurance
B.	An automobile sales person tries to divide the customers into meaningful groups in order to taiilor sales effort to each group specifically
C.	A credit loan officer tries to automate the credit loan approval process to find out which applications should be approved and which should not
D.	A project manager wants to obtain an approximate value of the total costs of completing a large project
E.	An ice-cream producer wants to determine the best combination of product items to produce given limited amount of ingredients for the products
F.	A help desk manager wants to schedule suitable numbers of staff members to the help desks during three shifts of each day (morning, afternoon, evening) in a week (Monday - Sunday)