Multiple Choice
Scanner data gathered from various supermarket chains were merged with data from the travel industry (e.g., airlines, hotels, etc) into one data warehouse.Suppose the goal of
Data mining using this data warehouse is to predict whether a customer's expenditures on
International specialty food items would increase, decrease or stay the same in the next
Year.What technique might be most appropriate for achieving this goal?
A) Neural network.
B) Unsupervised problem.
C) Tree model.
D) Nodal network.
E) None of the above.
Correct Answer:

Verified
Correct Answer:
Verified
Q2: Data gathered from various telecommunication companies (e.g.cable,
Q2: Data used in a supervised problem to
Q3: Scanner data gathered from various supermarket chains
Q4: Data not used in building the model
Q4: Data gathered from home improvement retailers (e.g.Lowe's,
Q5: Data gathered from various automobile dealers (Toyota,
Q8: Data gathered from home improvement retailers (e.g.Lowe's,
Q9: Data gathered from various telecommunication companies (e.g.cable,
Q11: Scanner data gathered from various supermarket chains
Q12: Data gathered from home improvement retailers (e.g.Lowe's,