Deck 21: Introduction to Data Mining

Question 1

Which is not a phase of the data mining process?

A)Business understanding.
B)Data preparation.
C)Modeling.
D)Deployment.
E)None of the above.

Answer 1

None of the above.

Question 2

Popular data mining tools inspired by models that tried to mimic the function of the brain are known as ________________________ .

A)Tree models
B)Supervised problems
C)Neural networks
D)Nodal network
E)None of the above.

Answer 2

Neural networks

Question 3

Data not used in building the model but used to evaluate the performance of the model is known as ________________________ .

A)the terminal node
B)the test set
C)meta data
D)the training set
E)None of the above.

Answer 3

the test set

Question 4

Suppose data mining is used to determine whether or not a customer would purchase a hybrid vehicle.In data mining this is referred to as what type of problem?

A)Regression.
B)Transactional.
C)Unsupervised.
D)Classification.
E)None of the above.

Question 5

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 6

Suppose the goal of data mining in a data warehouse was to predict whether a household's telecommunication needs will increase, decrease or stay the same over the next year.What technique is most appropriate for achieving this goal?

A)Neural network.
B)Supervised problem.
C)Tree model.
D)Nodal network.
E)None of the above.

Question 7

Suppose data mining is used to determine how important it is for a customer to purchase a vehicle with a very low carbon footprint.In data mining this is referred to as what type of problem?

A)Regression.
B)Transactional.
C)Unsupervised.
D)Classification.
E)None of the above.

Question 8

Information about variables, such as variable definitions as well as how and when data were collected, is collectively called ________________________ .

A)superdata
B)metadata
C)extradata
D)cases
E)None of the above.

Question 9

Suppose data mining is used to determine whether or not a household subscribes to magazines about home and garden.In data mining this is referred to as what type of problem?

A)Regression.
B)Transactional.
C)Unsupervised.
D)Classification.
E)None of the above.

Question 10

Suppose data mining is used to determine how much a customer spends annually on energy efficient products.In data mining this is referred to as what type of problem?

A)Regression.
B)Transactional.
C)Unsupervised.
D)Classification.
E)None of the above.

Question 11

Data used in a supervised problem to build the predictive model is known as ________________________ .

A)the terminal node
B)the test set
C)meta data
D)the training set
E)None of the above.