Question 1

Identifying and preventing incorrect claim payments and fraudulent activities falls under which type of data mining applications?

Accepted Answer

A)  insurance
B)  retailing and logistics
C)  customer relationship management
D)  computer hardware and softwareE) A) and D)
F) A) and B)

Question 2

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 3

Fayyad et al.(1996)defined ________ in databases as a process of using data mining methods to find useful information and patterns in the data.

Accepted Answer

The answer of Fayyad et al.(1996)defined ________ in databases as...

Question 4

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 5

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

k-fold cro...

Question 6

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.E) A) and B)
F) All of the above

Question 7

List five reasons for the growing popularity of data mining in the business world.

Accepted Answer

• More intense competition at the global...

Question 8

In the Influence Health case,the company was able to evaluate over ________ million records in only two days.

Accepted Answer

The answer of In the Influence Health case,the company was...

Question 9

What does the robustness 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 predictionsE) None of the above
F) A) and C)

Question 10

Describe the role of the simple split in estimating the accuracy of classification models.

Accepted Answer

The simple split (or holdout or test sam...

Question 11

Because of its successful application to retail business problems,association rule mining is commonly called ________.

Accepted Answer

market-bas...

Question 12

What is the main reason parallel processing is sometimes used for data mining?

Accepted Answer

A)  because the hardware exists in most organizations,and it is available to use
B)  because most of the algorithms used for data mining require it
C)  because of the massive data amounts and search efforts involved
D)  because any strategic application requires parallel processingE) None of the above
F) B) and C)

Question 13

Using data mining on data about imports and exports can help to detect tax avoidance and money laundering.

Accepted Answer

A) True 
 B)False

Question 14

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.E) A) and C)
F) None of the above

Question 15

In data mining,classification models help in prediction.

Accepted Answer

A) True 
 B)False

Question 16

Which broad area of data mining applications partitions a collection of objects into natural groupings with similar features?

Accepted Answer

A)  associations
B)  visualization
C)  classification
D)  clusteringE) All of the above
F) A) and C)

Question 17

The cost of data storage has plummeted recently,making data mining feasible for more firms.

Accepted Answer

A) True 
 B)False

Question 18

A data mining study is specific to addressing a well-defined business task,and different business tasks require

Accepted Answer

A)  general organizational data.
B)  general industry data.
C)  general economic data.
D)  different sets of data.E) A) and B)
F) None of the above

Question 19

K-fold cross-validation is also called sliding estimation.

Accepted Answer

A) True 
 B)False

Question 20

In the Influence Health case study,what was the goal of the system?

Accepted Answer

A)  locating clinic patients
B)  understanding follow-up care
C)  decreasing operational costs
D)  increasing service useE) A) and B)
F) All of the above

Exam 4: Predictive Analytics I: Data Mining Process, methods, and Algorithms

Which broad area of data mining applications partitions a collection of objects into natural groupings with similar features?

Correct AnswerverifiedShow Answer

In data mining,classification models help in prediction.

Correct AnswerverifiedShow Answer

K-fold cross-validation is also called sliding estimation.

Correct AnswerverifiedShow Answer

Describe the role of the simple split in estimating the accuracy of classification models.

Correct AnswerverifiedThe simple split (or holdout or test sam...View AnswerShow Answer

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

Correct AnswerverifiedShow Answer

Because of its successful application to retail business problems,association rule mining is commonly called ________.

Correct Answerverifiedmarket-bas...View AnswerShow Answer

What is the main reason parallel processing is sometimes used for data mining?

Correct AnswerverifiedShow Answer

Using data mining on data about imports and exports can help to detect tax avoidance and money laundering.

Correct AnswerverifiedShow Answer

Identifying and preventing incorrect claim payments and fraudulent activities falls under which type of data mining applications?

Correct AnswerverifiedShow Answer

In the Influence Health case study,what was the goal of the system?

Correct AnswerverifiedShow Answer

Fayyad et al.(1996)defined ________ in databases as a process of using data mining methods to find useful information and patterns in the data.

Correct AnswerverifiedShow Answer

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

Correct AnswerverifiedShow Answer

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

Correct AnswerverifiedShow Answer

The cost of data storage has plummeted recently,making data mining feasible for more firms.

Correct AnswerverifiedShow Answer

In the Influence Health case,the company was able to evaluate over ________ million records in only two days.

Correct AnswerverifiedShow Answer

Which of the following is a data mining myth?

Correct AnswerverifiedShow Answer

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.

Correct Answerverifiedk-fold cro...View AnswerShow Answer

List five reasons for the growing popularity of data mining in the business world.

Correct Answerverified• More intense competition at the global...View AnswerShow Answer

A data mining study is specific to addressing a well-defined business task,and different business tasks require

Correct AnswerverifiedShow Answer

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

Correct AnswerverifiedShow Answer

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The simple split (or holdout or test sam...
View Answer

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market-bas...
View Answer

Correct Answer
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Correct Answer
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Correct Answer
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Correct Answer
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Correct Answer
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k-fold cro...
View Answer

Correct Answer
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• More intense competition at the global...
View Answer

Correct Answer
verified

Correct Answer
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