Deck 17: Data Mining

Question 1

Clustering is considered a supervised data mining technique.

Answer 1

False

Question 2

A facts table has:

A) few rows and many columns
B) many rows and many columns
C) many rows and few columns
D) few rows and few columns

Answer 2

A

Question 3

Bridget has partitioned data into two subsets.The original file contains 300,000 observations.The subset she is currently working with has 60,000 observations.Which subset is she most likely to be using?

A) The training set
B) The original set
C) The testing set
D) The prediction set

Answer 3

C

Question 4

Create a pivot table that illustrates something meaningful about the variables in the accompanying table.

Question 5

If the regression coefficient estimate from a logistic regression is positive,the probability of the dependent variable taking on a value of 1:

A) decreases
B) approaches zero
C) increases
D) remains constant

Question 6

A data mart is typically smaller than a data warehouse.

Question 7

The predicted value from a logistic regression will be:

A) between 0 and 1
B) between -1 and 1
C) less than 0
D) greater than 1

Question 8

Segmentation is also known as clustering,and involves trying to group entities into similar clusters.

Question 9

If the estimate on the female variable is positive,what does this indicate about credit card usage?

Question 10

What does the pivot table indicate about spending habits?

Question 11

Suppose the odds of Team A winning are 5 to 1.Then,the odds ratio is:

A) 5/1
B) 1/5
C) 6/1
D) 1/6

Question 12

Data mining is used to examine known,expected patterns and relationships among variables.

Question 13

The higher the "score" for a particular member in logistic regression,the:

A) higher the likelihood that member is in category 1
B) lower the likelihood that member is in category 1
C) higher the likelihood that member is in category 0
D) higher the likelihood that member is not in a category
Amount Spent
Female
Credit Card
99
0
0
50
0
0
75
0
1
600
1
0
325
1
0
97
0
1
540
1
0
137
1
0
22
1
1
94
1
1
111
1
1

Question 14

In a facts table,a supermarket database is likely to have which item listed in rows?

A) The number of units sold
B) Revenue generated from a particular unit
C) The department in which the unit was purchased
D) The individual items purchased

Question 15

Which methodology is used to group products that customers purchase together?

A) Market basket analysis
B) Prediction
C) Classification analysis
D) Forecasting

Question 16

Megan is examining the likelihood of people riding the subway.The dependent variable takes on the value of 1 if the individual rides the subway and 0 otherwise.Therefore,she could use logistic regression to examine this question.

Question 17

Mya is investigating the factors that impact soda consumption.She examines a host of variables that help explain the amount consumed.Which type of data mining methodology is she most likely to use?

A) Market basket analysis
B) Prediction
C) Classification analysis
D) Forecasting

Question 18

The testing set in data partitioning is:

A) The first subset of data,which usually contains 70% of the records
B) The second subset of data,which usually contains less than 70% of the records
C) The initial dataset from which subsets are created
D) The first subset of data,which usually contains 30% of the records