$1-(2\mathrm{.}5$ points$)[$Introduction to Data Analytics$]$ Determine the most relevant business

analytics methods $($e$.$g$.,$ classification, regression, clustering, association mining,

Simulation, etc.$)$ for the following business problem:

a$.[0\mathrm{.}5$ point$]$ Grouping a public bank$$s customers based on customer value, accounts

type, accounts balances, address, education and family income.

b$.[0\mathrm{.}5$ point$]$ Estimating the price of a house using historical data.

c$.[0\mathrm{.}5$ point$]$ Predicting whether an applicant's credit application will be approved

or denied based on historical data

d$.[0\mathrm{.}5$ point$]$ Producing a list of recommendations for a user.

e$.[0\mathrm{.}5$ point$]$ Determining the bottleneck$($s$)$ of a business process.

$2-(2$ points$)[$OLAP Operations$]$ Assume we have a data cube consists of three dimensions:

Item, Time and Location. The values $($i$.$e$.,$ facts$)$ show the revenue in thousand dollars.