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
Q1: Scanner data gathered from various supermarket chains
Q2: Data gathered from various automobile dealers (Toyota,
Q3: Data not used in building the model
Q4: Data gathered from home improvement retailers (e.g.Lowe's,
Q5: Scanner data gathered from various supermarket chains
Q7: Data gathered from various automobile dealers (Toyota,
Q8: Data gathered from various telecommunication companies (e.g.cable,
Q11: Data used in a supervised problem to
Q11: Data gathered from various telecommunication companies (e.g.cable,
Q64: Information about variables, such as variable definitions
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