Deck 16: Introduction to Data Mining

Question 1

Scanner data gathered from various supermarket chains were merged with data from the travel industry (e.g., airlines, hotels, etc) into one data warehouse.Below is a list of a
Few variables for which data were collected.Which is/are transactional?

A)Amount spent on organic food products.
B)Number of international flights taken annually.
C)Types of eco-friendly products purchased.
D)Both A and B

Answer 1

E

Question 2

Data gathered from various automobile dealers (Toyota, BMW, etc.) and pro- environment organizations (e.g., Sierra Club) were merged into one data warehouse.
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.

Answer 2

A

Question 3

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.

Answer 3

C

Question 4

Data gathered from home improvement retailers (e.g.Lowe's, Home Depot, etc.) and publishing companies (magazines, books, etc.) were merged into one data warehouse.
Below are some of the variables for which data were collected.Which is/are
Demographic?

A)Number of magazine subscriptions.
B)Monthly expenditures on cleaning supplies.
C)Homeowner (Yes or No).
D)Both A and B

Question 5

Scanner data gathered from various supermarket chains were merged with data from the travel industry (e.g., airlines, hotels, etc) into one data warehouse.Below is a list of a
Few variables for which data were collected.Which is/are demographic?

A)Age.
B)Occupation.
C)Amount spent on organic food products.
D)Both A and B

Question 6

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 7

Data gathered from various automobile dealers (Toyota, BMW, etc.) and pro- environment organizations (e.g., Sierra Club) were merged into one data warehouse.
Below are some of the variables for which data were collected.Which is/are
Transactional?

A)Gender.
B)Homeowner (Yes or No).
C)Purchase price of the vehicle.
D)Both B and C

Question 8

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.Below are some of the variables for which data were collected.
Which is/are transactional?

A)Type of cell phone plan.
B)Zip code.
C)Household income.
D)Both A and B

Question 9

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.

Question 10

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.

Question 11

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 data mining is employed to answer the following
Questions.Which is considered a regression problem?

A)Whether or not a customer would be interested in wireless internet capabilities.
B)How much does a customer spend on all household communication-related
C)Whether or not a customer would be interested in flexible cable TV plans (subscribe
D)Both A and B

Question 12

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.

Question 13

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.

Question 14

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.

Question 15

Data gathered from various automobile dealers (Toyota, BMW, etc.) and pro- environment organizations (e.g., Sierra Club) were merged into one data warehouse.
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 16

Data gathered from home improvement retailers (e.g.Lowe's, Home Depot, etc.) and publishing companies (magazines, books, etc.) were merged into one data warehouse.
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 17

Scanner data gathered from various supermarket chains were merged with data from the travel industry into one data warehouse.Suppose data mining is employed to answer
The following questions.Which is considered a classification problem?

A)Whether or not a customer is interested in eco-friendly travel products.
B)How much a customer spends annually on travel related products?
C)How much a customer spends annually on international specialty food items?
D)Both B and C

Question 18

Data gathered from home improvement retailers (e.g.Lowe's, Home Depot, etc.) and publishing companies (magazines, books, etc.) were merged into one data warehouse.
Below are some of the variables for which data were collected.Which is/are
Transactional?

A)Annual expenditures on garden supplies.
B)Number of children in household.
C)Household income.
D)Both A and B

Question 19

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.Below are some of the variables for which data were collected.
Which is/are demographic?

A)Number of residents in household.
B)Gender of head of household.
C)Monthly electricity usage.
D)Both A and B

Question 20

Data gathered from home improvement retailers (e.g.Lowe's, Home Depot, etc.) and publishing companies (magazines, books, etc.) were merged into one data warehouse.
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.