Question 1

If using a mining analogy,"knowledge mining" would be a more appropriate term than "data mining."

Accepted Answer

A) True 
 B)False

Question 2

What are the differences between nominal,ordinal,interval and ratio data? Give examples.

Accepted Answer

The answer of What are the differences between nominal,ordinal,interval and...

Question 3

In the Target case study,why did Target send a teen maternity ads?

Accepted Answer

A)  Target's analytic model confused her with an older woman with a similar name. 
B)  Target was sending ads to all women in a particular neighborhood. 
C)  Target's analytic model suggested she was pregnant based on her buying habits. 
D)  Target was using a special promotion that targeted all teens in her geographical area.

Question 4

Data are often buried deep within very large ________,which sometimes contain data from several years.

Accepted Answer

The answer of Data are often buried deep within very...

Question 5

The data mining in cancer research case study explains that data mining methods are capable of extracting patterns and ________ hidden deep in large and complex medical databases.

Accepted Answer

The answer of The data mining in cancer research case...

Question 6

The data field "ethnic group" can be best described as

Accepted Answer

A)  nominal data. 
B)  interval data. 
C)  ordinal data. 
D)  ratio data.

Question 7

List six common data mining mistakes.

Accepted Answer

The answer of List six common data mining mistakes....

Question 8

In ________,a classification method,the complete data set is randomly split into mutually exclusive subsets of approximately equal size and tested multiple times on each left-out subset,using the others as a training set.

Accepted Answer

The answer of In ________,a classification method,the complete data set...

Question 9

Which of the following is a data mining myth?

Accepted Answer

A)  Data mining is a multistep process that requires deliberate, proactive design and use. 
B)  Data mining requires a separate, dedicated database. 
C)  The current state-of-the-art is ready to go for almost any business. 
D)  Newer Web-based tools enable managers of all educational levels to do data mining.

Question 10

Customer ________ management extends traditional marketing by creating one-on-one relationships with customers.

Accepted Answer

The answer of Customer ________ management extends traditional marketing by...

Question 11

What does the scalability of a data mining method refer to?

Accepted Answer

A)  its ability to predict the outcome of a previously unknown data set accurately 
B)  its speed of computation and computational costs in using the mode 
C)  its ability to construct a prediction model efficiently given a large amount of data 
D)  its ability to overcome noisy data to make somewhat accurate predictions

Question 12

Statistics and data mining both look for data sets that are as large as possible.

Accepted Answer

A) True 
 B)False

Question 13

Knowledge extraction,pattern analysis,data archaeology,information harvesting,pattern searching,and data dredging are all alternative names for ________.

Accepted Answer

The answer of Knowledge extraction,pattern analysis,data archaeology,information harvesting,pattern searching,and data...

Question 14

Data preparation,the third step in the CRISP-DM data mining process,is more commonly known as ________.

Accepted Answer

The answer of Data preparation,the third step in the CRISP-DM...

Question 15

In the Cabela's case study,what types of models helped the company understand the value of customers,using a five-point scale?

Accepted Answer

A)  reporting and association models 
B)  simulation and geographical models 
C)  simulation and regression models 
D)  clustering and association models

Question 16

While prediction is largely experience and opinion based,________ is data and model based.

Accepted Answer

The answer of While prediction is largely experience and opinion...

Question 17

In the Memphis Police Department case study,predictive analytics helped to identify the best schedule for officers in order to pay the least overtime.

Accepted Answer

A) True 
 B)False

Question 18

Prediction problems where the variables have numeric values are most accurately defined as

Accepted Answer

A)  classifications. 
B)  regressions. 
C)  associations. 
D)  computations.

Question 19

During classification in data mining,a false positive is an occurrence classified as true by the algorithm while being false in reality.

Accepted Answer

A) True 
 B)False

Question 20

List four myths associated with data mining.

Accepted Answer

The answer of List four myths associated with data mining....

Exam 4: Data Mining

If using a mining analogy,"knowledge mining" would be a more appropriate term than "data mining."

What are the differences between nominal,ordinal,interval and ratio data? Give examples.

In the Target case study,why did Target send a teen maternity ads?

Data are often buried deep within very large ________,which sometimes contain data from several years.

The data mining in cancer research case study explains that data mining methods are capable of extracting patterns and ________ hidden deep in large and complex medical databases.

The data field "ethnic group" can be best described as

List six common data mining mistakes.

In ________,a classification method,the complete data set is randomly split into mutually exclusive subsets of approximately equal size and tested multiple times on each left-out subset,using the others as a training set.

Which of the following is a data mining myth?

Customer ________ management extends traditional marketing by creating one-on-one relationships with customers.

What does the scalability of a data mining method refer to?

Statistics and data mining both look for data sets that are as large as possible.

Knowledge extraction,pattern analysis,data archaeology,information harvesting,pattern searching,and data dredging are all alternative names for ________.

Data preparation,the third step in the CRISP-DM data mining process,is more commonly known as ________.

In the Cabela's case study,what types of models helped the company understand the value of customers,using a five-point scale?

While prediction is largely experience and opinion based,________ is data and model based.

In the Memphis Police Department case study,predictive analytics helped to identify the best schedule for officers in order to pay the least overtime.

Prediction problems where the variables have numeric values are most accurately defined as

During classification in data mining,a false positive is an occurrence classified as true by the algorithm while being false in reality.

List four myths associated with data mining.