Question 1

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

Accepted Answer

market-bas

Question 2

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 predictions 
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 3

The ________ is the most commonly used algorithm to discover association rules.Given a set of itemsets,the algorithm attempts to find subsets that are common to at least a minimum number of the itemsets.

Accepted Answer

The answer of The ________ is the most commonly used...

Question 4

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

Accepted Answer

.More intense competition at the global

Question 5

Describe cluster analysis and some of its applications.

Accepted Answer

Cluster analysis is an exploratory data

Question 6

In data mining,classification models help in prediction.

Accepted Answer

A) True 
 B)False

Question 7

All of the following statements about data mining are true EXCEPT

Accepted Answer

A)  the process aspect means that data mining should be a one-step process to results. 
B)  the novel aspect means that previously unknown patterns are discovered. 
C)  the potentially useful aspect means that results should lead to some business benefit. 
D)  the valid aspect means that the discovered patterns should hold true on new data. 
A)  the process aspect means that data mining should be a one-step process to results. 
B)  the novel aspect means that previously unknown patterns are discovered. 
C)  the potentially useful aspect means that results should lead to some business benefit. 
D)  the valid aspect means that the discovered patterns should hold true on new data.

Question 8

In the opening vignette,Cabela's uses SAS data mining tools to create ________ models to optimize customer selection for all customer contacts.

Accepted Answer

The answer of In the opening vignette,Cabela's uses SAS data...

Question 9

Understanding customers better has helped Amazon and others become more successful.The understanding comes primarily from

Accepted Answer

A)  collecting data about customers and transactions. 
B)  developing a philosophy that is data analytics-centric. 
C)  analyzing the vast data amounts routinely collected. 
D)  asking the customers what they want. 
A)  collecting data about customers and transactions. 
B)  developing a philosophy that is data analytics-centric. 
C)  analyzing the vast data amounts routinely collected. 
D)  asking the customers what they want.

Question 10

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

Accepted Answer

The simple split (or holdout or t

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

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

The ________ is the most commonly used algorithm to discover association rules.Given a set of itemsets,the algorithm attempts to find subsets that are common to at least a minimum number of the itemsets.

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

Describe cluster analysis and some of its applications.

In data mining,classification models help in prediction.

All of the following statements about data mining are true EXCEPT

In the opening vignette,Cabela's uses SAS data mining tools to create ________ models to optimize customer selection for all customer contacts.

Understanding customers better has helped Amazon and others become more successful.The understanding comes primarily from

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

An Overview of Business Intelligence, Analytics, and Decision Support

Data Warehousing

Business Reporting, visual Analytics, and Business Performance Management

Text,web,and Social Analytics

Big Data and Analytics

Business Analytics: Emerging Trends and Future Directions

Filters

Exam 4: Data Mining

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

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

The ________ is the most commonly used algorithm to discover association rules.Given a set of itemsets,the algorithm attempts to find subsets that are common to at least a minimum number of the itemsets.

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

Describe cluster analysis and some of its applications.

In data mining,classification models help in prediction.

All of the following statements about data mining are true EXCEPT

In the opening vignette,Cabela's uses SAS data mining tools to create ________ models to optimize customer selection for all customer contacts.

Understanding customers better has helped Amazon and others become more successful.The understanding comes primarily from

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

An Overview of Business Intelligence, Analytics, and Decision Support

Data Warehousing

Business Reporting, visual Analytics, and Business Performance Management

Text,web,and Social Analytics

Big Data and Analytics

Business Analytics: Emerging Trends and Future Directions

Filters