Question 1

Third party providers of publicly available datasets protect the anonymity of the individuals in the data set primarily by

Accepted Answer

A)  asking data users to use the data ethically. 
B)  leaving in identifiers (e.g., name), but changing other variables. 
C)  removing identifiers such as names and social security numbers. 
D)  letting individuals in the data know their data is being accessed. 
A)  asking data users to use the data ethically. 
B)  leaving in identifiers (e.g., name), but changing other variables. 
C)  removing identifiers such as names and social security numbers. 
D)  letting individuals in the data know their data is being accessed. C

Question 2

Which broad area of data mining applications analyzes data,forming rules to distinguish between defined classes?

Accepted Answer

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

Question 3

In the data mining in Hollywood case study,how successful were the models in predicting the success or failure of a Hollywood movie?

Accepted Answer

The researchers claim that these prediction results are better than any reported in the published literature for this problem domain.Fusion classification methods attained up to 56.07% accuracy in correctly classifying movies and 90.75% accuracy in classifying movies within one category of their actual category.The SVM classification method attained up to 55.49% accuracy in correctly classifying movies and 85.55% accuracy in classifying movies within one category of their actual category.

Question 4

In the Cabela's case study,the SAS/Teradata solution enabled the direct marketer to better identify likely customers and market to them based mostly on external data sources.

Accepted Answer

A) True 
 B)False

Question 5

In data mining,finding an affinity of two products to be commonly together in a shopping cart is known as

Accepted Answer

A)  association rule mining. 
B)  cluster analysis. 
C)  decision trees. 
D)  artificial neural networks. 
A)  association rule mining. 
B)  cluster analysis. 
C)  decision trees. 
D)  artificial neural networks.

Question 6

The entire focus of the predictive analytics system in the Infinity P&C case was on detecting and handling fraudulent claims for the company's benefit.

Accepted Answer

A) True 
 B)False

Question 7

In the terrorist funding case study,an observed price ________ may be related to income tax avoidance/evasion,money laundering,or terrorist financing.

Accepted Answer

The answer of In the terrorist funding case study,an observed...

Question 8

The basic idea behind a ________ is that it recursively divides a training set until each division consists entirely or primarily of examples from one class.

Accepted Answer

The answer of The basic idea behind a ________ is...

Question 9

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 10

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 11

There has been an increase in data mining to deal with global competition and customers' more sophisticated ________ and wants.

Accepted Answer

The answer of There has been an increase in data...

Question 12

Ratio data is a type of categorical data.

Accepted Answer

A) True 
 B)False

Question 13

The data field "salary" can be best described as

Accepted Answer

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

Question 14

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 15

Market basket analysis is a useful and entertaining way to explain data mining to a technologically less savvy audience,but it has little business significance.

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

Question 17

Which data mining process/methodology is thought to be the most comprehensive,according to kdnuggets.com rankings?

Accepted Answer

A)  SEMMA 
B)  proprietary organizational methodologies 
C)  KDD Process 
D)  CRISP-DM 
A)  SEMMA 
B)  proprietary organizational methodologies 
C)  KDD Process 
D)  CRISP-DM

Question 18

In the cancer research case study,data mining algorithms that predict cancer survivability with high predictive power are good replacements for medical professionals.

Accepted Answer

A) True 
 B)False

Question 19

Interval data is a type of numerical data.

Accepted Answer

A) True 
 B)False

Question 20

Patterns have been manually ________ from data by humans for centuries,but the increasing volume of data in modern times has created a need for more automatic approaches.

Accepted Answer

The answer of Patterns have been manually ________ from data...

Third party providers of publicly available datasets protect the anonymity of the individuals in the data set primarily by

Which broad area of data mining applications analyzes data,forming rules to distinguish between defined classes?

In the data mining in Hollywood case study,how successful were the models in predicting the success or failure of a Hollywood movie?

In the Cabela's case study,the SAS/Teradata solution enabled the direct marketer to better identify likely customers and market to them based mostly on external data sources.

In data mining,finding an affinity of two products to be commonly together in a shopping cart is known as

The entire focus of the predictive analytics system in the Infinity P&C case was on detecting and handling fraudulent claims for the company's benefit.

In the terrorist funding case study,an observed price ________ may be related to income tax avoidance/evasion,money laundering,or terrorist financing.

The basic idea behind a ________ is that it recursively divides a training set until each division consists entirely or primarily of examples from one class.

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

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

There has been an increase in data mining to deal with global competition and customers' more sophisticated ________ and wants.

Ratio data is a type of categorical data.

The data field "salary" can be best described as

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

Market basket analysis is a useful and entertaining way to explain data mining to a technologically less savvy audience,but it has little business significance.

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

Which data mining process/methodology is thought to be the most comprehensive,according to kdnuggets.com rankings?

In the cancer research case study,data mining algorithms that predict cancer survivability with high predictive power are good replacements for medical professionals.

Interval data is a type of numerical data.

Patterns have been manually ________ from data by humans for centuries,but the increasing volume of data in modern times has created a need for more automatic approaches.

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

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Exam 4: Data Mining

Third party providers of publicly available datasets protect the anonymity of the individuals in the data set primarily by

Which broad area of data mining applications analyzes data,forming rules to distinguish between defined classes?

In the data mining in Hollywood case study,how successful were the models in predicting the success or failure of a Hollywood movie?

In the Cabela's case study,the SAS/Teradata solution enabled the direct marketer to better identify likely customers and market to them based mostly on external data sources.

In data mining,finding an affinity of two products to be commonly together in a shopping cart is known as

The entire focus of the predictive analytics system in the Infinity P&C case was on detecting and handling fraudulent claims for the company's benefit.

In the terrorist funding case study,an observed price ________ may be related to income tax avoidance/evasion,money laundering,or terrorist financing.

The basic idea behind a ________ is that it recursively divides a training set until each division consists entirely or primarily of examples from one class.

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

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

There has been an increase in data mining to deal with global competition and customers' more sophisticated ________ and wants.

Ratio data is a type of categorical data.

The data field "salary" can be best described as

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

Market basket analysis is a useful and entertaining way to explain data mining to a technologically less savvy audience,but it has little business significance.

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

Which data mining process/methodology is thought to be the most comprehensive,according to kdnuggets.com rankings?

In the cancer research case study,data mining algorithms that predict cancer survivability with high predictive power are good replacements for medical professionals.

Interval data is a type of numerical data.

Patterns have been manually ________ from data by humans for centuries,but the increasing volume of data in modern times has created a need for more automatic approaches.

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