Question 1

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

Accepted Answer

market-bas

Question 2

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 3

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 4

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

Question 5

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 6

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 7

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 8

In data mining,classification models help in prediction.

Accepted Answer

A) True 
 B)False

Question 9

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 10

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. 
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 11

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

Accepted Answer

• More intense competition at the global

Question 12

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) clustering 
A) associations 
B) visualization 
C) classification 
D) clustering

Question 13

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 use 
A) locating clinic patients 
B) understanding follow-up care 
C) decreasing operational costs 
D) increasing service use

Question 14

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

Accepted Answer

A) True 
 B)False

Question 15

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 16

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 17

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

Accepted Answer

A) True 
 B)False

Question 18

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 processing 
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 processing

Question 19

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. 
A) general organizational data. 
B) general industry data. 
C) general economic data. 
D) different sets of data.

Question 20

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. 
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.

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

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

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

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

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

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.

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

In data mining,classification models help in prediction.

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

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

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

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

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

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

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

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

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

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

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

Which of the following is a data mining myth?

An Overview of Business Intelligence,analytics,and Data Science

Descriptive Analytics I: Nature of Data,statistical Modeling,

Descriptive Analytics II: Business Intelligence and Data Warehousing

Predictive Analytics II: Text, web, and Social Media Analytics

Prescriptive Analytics: Optimization and Simulation

Big Data Concepts and Tools

Future Trends,privacy and Managerial Considerations in Analytics

Filters

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

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

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

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

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

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

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.

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

In data mining,classification models help in prediction.

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

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

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

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

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

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

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

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

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

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

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

Which of the following is a data mining myth?

An Overview of Business Intelligence,analytics,and Data Science

Descriptive Analytics I: Nature of Data,statistical Modeling,

Descriptive Analytics II: Business Intelligence and Data Warehousing

Predictive Analytics II: Text, web, and Social Media Analytics

Prescriptive Analytics: Optimization and Simulation

Big Data Concepts and Tools

Future Trends,privacy and Managerial Considerations in Analytics

Filters