Suppose the goal of data mining using in a 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.

Question

Quizplus · Accepted Answer

A tree model would be most appropriate for predicting whether a customer's expenditures on international specialty food items would increase, decrease, or stay the same in the next year. With a tree model, we can create a decision tree that incorporates various factors, such as the customer's demographics, past purchase history, and seasonal trends, to predict the customer's future behavior. The tree model can be trained with historical data, and the resulting tree can be used to predict outcomes for new customers in the future.

Suppose the Goal of Data Mining Using in a Data