Relate data mining algorithms to goals.
-Data gathered from various telecommunication companies (e.g. cable, phone,
Internet service providers) and utility companies (electric, fuel, etc.) were merged into
One data warehouse. Suppose the goal of data mining using this data warehouse was to
Predict whether a household's telecommunication needs will increase, decrease or stay
The same over the next year. What technique might be most appropriate for achieving
This goal?
A) Neural network.
B) Supervised problem.
C) Tree model.
D) Nodal network.
E) None of the above.
Correct Answer:
Verified
Q1: Which is not a phase of the
Q2: Understand the data mining process.
-Information about variables,
Q3: Recognize classification and regression problems in data
Q4: Understand the data mining process.
-Data not used
Q7: Recognize classification and regression problems in data
Q8: Recognize classification and regression problems in data
Q9: Identify data mining algorithms.
-Popular data mining tools
Q10: Relate data mining algorithms to goals.
-Scanner data
Q11: Data used in a supervised problem to
Q11: Recognize classification and regression problems in data
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