Assignment # $1$

PROBLEMS

$2\mathrm{.}1$ Assuming that data mining techniques are to be used in the following cases, identify whether the task required is supervised or unsupervised learning.

a$.$ Deciding whether to issue a loan to an applicant based on demographic and financial data $($with reference to a database of similar data on prior customers$).$

b$.$ In an online bookstore, making recommendations to customers concerning additional items to buy based on the buying patterns in prior transactions.

c$.$ Identifying a network data packet as dangerous $($virus$,$ hacker attack$)$ based on comparison to other packets whose threat status is known.

d$.$ Identifying segments of similar customers.

e$.$ Predicting whether a company will go bankrupt based on comparing its financial data to those of similar bankrupt and nonbankrupt firms.

f$.$ Estimating the repair time required for an aircraft based on a trouble ticket.

g$.$ Automated sorting of mail by zip code scanning.

h$.$ Printing of custom discount coupons at the conclusion of a grocery store checkout based on what you just bought and what others have bought previously.