Question 1

Which of the following has helped generate large quantities of data for analysis in knowledge discovery systems?

Accepted Answer

A) Conversion of databases for Y2K. 
B) Integrated DM software tools. 
C) Increasing availability of computing power. 
D) Proliferation of e-commerce applications. 
E) None of the above. 
A) Conversion of databases for Y2K. 
B) Integrated DM software tools. 
C) Increasing availability of computing power. 
D) Proliferation of e-commerce applications. 
E) None of the above.

Question 2

Challenges to knowledge discovery utilization are being resolved through the increasing availability of verticalized solutions.

Accepted Answer

A) True 
 B)False

Question 3

What are the six steps in the CRISP-DM hierarchical process model for knowledge discovery? List them in the order in which they should be performed.

Accepted Answer

1. Business understanding.
2.

Question 4

Knowledge creation systems may be enables by the use of data mining.

Accepted Answer

A) True 
 B)False

Question 5

What are the most common and useful application of DM in business domains?

Accepted Answer

A) Employee placement. 
B) Customer relationship management (CRM). 
C) Detection of financing risk and fraud. 
D) Product marketing and sales. 
E) Diagnosis. 
A) Employee placement. 
B) Customer relationship management (CRM). 
C) Detection of financing risk and fraud. 
D) Product marketing and sales. 
E) Diagnosis.

Question 6

Knowledge discovery is a relatively new process and started in the early 1990s.

Accepted Answer

A) True 
 B)False

Question 7

Brainstorming if done properly can help engender lateral thinking.

Accepted Answer

A) True 
 B)False

Question 8

How are ANNs used to perform DM for knowledge discovery in the telecommunications industry?

Accepted Answer

A) Perform market basket analysis. 
B) Schedule system outages. 
C) Predict churn. 
D) Determine fraudulent usage. 
E) Improve direct marketing campaigns. 
A) Perform market basket analysis. 
B) Schedule system outages. 
C) Predict churn. 
D) Determine fraudulent usage. 
E) Improve direct marketing campaigns.

Question 9

What is a necessary technology for performing data mining due to the text-based nature of online information?

Accepted Answer

A) Statistical analysis of XML and HTML tags. 
B) Information retrieval. 
C) Link capture and analysis. 
D) Probabilistic modeling. 
E) Natural language processing. 
A) Statistical analysis of XML and HTML tags. 
B) Information retrieval. 
C) Link capture and analysis. 
D) Probabilistic modeling. 
E) Natural language processing.

Question 10

Which of the following is not a step in the data understanding process?

Accepted Answer

A) Collection. 
B) Exploratory analysis. 
C) Description. 
D) Quality and verification. 
E) None of the above. 
A) Collection. 
B) Exploratory analysis. 
C) Description. 
D) Quality and verification. 
E) None of the above.

Question 11

According to the CRISP-DM hierarchical process model, preparing data is the first step towards performing knowledge discovery at a business.

Accepted Answer

A) True 
 B)False

Question 12

Which of the following is not a step in the data preparation process?

Accepted Answer

A) Selecting predictor variables. 
B) Determining and excluding data outliers. 
C) Formatting data to fit the DM model. 
D) Data consolidation and integration. 
E) Selecting the set of data samples. 
A) Selecting predictor variables. 
B) Determining and excluding data outliers. 
C) Formatting data to fit the DM model. 
D) Data consolidation and integration. 
E) Selecting the set of data samples.

Question 13

DM is defined to include the whole process of knowledge discovery including the application of KDD techniques.

Accepted Answer

A) True 
 B)False

Question 14

What is one way that knowledge is discovered?

Accepted Answer

A) Externalizing tacit knowledge into an explicit form. 
B) Internalizing explicit knowledge into tacit form. 
C) Sending explicit documents to fellow workers. 
D) Using the WWW for communicating new ideas explicitly. 
E) Finding interesting patterns in explicit observations. 
A) Externalizing tacit knowledge into an explicit form. 
B) Internalizing explicit knowledge into tacit form. 
C) Sending explicit documents to fellow workers. 
D) Using the WWW for communicating new ideas explicitly. 
E) Finding interesting patterns in explicit observations.

Question 15

Knowledge mechanisms facilitate combination and knowledge technologies facilitate socialization.

Accepted Answer

A) True 
 B)False

Question 16

Knowledge discovery systems rely on mechanisms and technologies that support the combination and socialization processes.

Accepted Answer

A) True 
 B)False

Question 17

Which of the following is not an area where DM has been applied to a business problem for knowledge discovery?

Accepted Answer

A) Utilities. 
B) Banking. 
C) Insurance. 
D) Operations management. 
E) None of the above. 
A) Utilities. 
B) Banking. 
C) Insurance. 
D) Operations management. 
E) None of the above.

Question 18

Eighty percent of the world's online content is in text-based format.

Accepted Answer

A) True 
 B)False

Question 19

Describe the usage of DM efforts in the electric utility industry and why DM is needed?

Accepted Answer

ANNs are routinely used to predict power

Question 20

What are the two important aspects addressed by creative brainstorming and how does creative brainstorming impact these aspects?

Accepted Answer

First is to identify the "real problem".

Which of the following has helped generate large quantities of data for analysis in knowledge discovery systems?

Challenges to knowledge discovery utilization are being resolved through the increasing availability of verticalized solutions.

What are the six steps in the CRISP-DM hierarchical process model for knowledge discovery? List them in the order in which they should be performed.

Knowledge creation systems may be enables by the use of data mining.

What are the most common and useful application of DM in business domains?

Knowledge discovery is a relatively new process and started in the early 1990s.

Brainstorming if done properly can help engender lateral thinking.

How are ANNs used to perform DM for knowledge discovery in the telecommunications industry?

What is a necessary technology for performing data mining due to the text-based nature of online information?

Which of the following is not a step in the data understanding process?

According to the CRISP-DM hierarchical process model, preparing data is the first step towards performing knowledge discovery at a business.

Which of the following is not a step in the data preparation process?

DM is defined to include the whole process of knowledge discovery including the application of KDD techniques.

What is one way that knowledge is discovered?

Knowledge mechanisms facilitate combination and knowledge technologies facilitate socialization.

Knowledge discovery systems rely on mechanisms and technologies that support the combination and socialization processes.

Which of the following is not an area where DM has been applied to a business problem for knowledge discovery?

Eighty percent of the world's online content is in text-based format.

Describe the usage of DM efforts in the electric utility industry and why DM is needed?

What are the two important aspects addressed by creative brainstorming and how does creative brainstorming impact these aspects?

Introducing Knowledge Management

The Nature of Knowledge

Knowledge Management Foundations

Knowledge Management Solutions: Processes and Systems

Organizational Impacts of Knowledge Management

Knowledge Application Systems

Knowledge Capture Systems

Knowledge Sharing Systems

Emergent Knowledge Management Practices

Factors Influencing Knowledge Management

Leadership Assessment of Knowledge Management

The Future of Knowledge Management

Filters

Exam 9: Knowledge Discovery Systems

Which of the following has helped generate large quantities of data for analysis in knowledge discovery systems?

Challenges to knowledge discovery utilization are being resolved through the increasing availability of verticalized solutions.

What are the six steps in the CRISP-DM hierarchical process model for knowledge discovery? List them in the order in which they should be performed.

Knowledge creation systems may be enables by the use of data mining.

What are the most common and useful application of DM in business domains?

Knowledge discovery is a relatively new process and started in the early 1990s.

Brainstorming if done properly can help engender lateral thinking.

How are ANNs used to perform DM for knowledge discovery in the telecommunications industry?

What is a necessary technology for performing data mining due to the text-based nature of online information?

Which of the following is not a step in the data understanding process?

According to the CRISP-DM hierarchical process model, preparing data is the first step towards performing knowledge discovery at a business.

Which of the following is not a step in the data preparation process?

DM is defined to include the whole process of knowledge discovery including the application of KDD techniques.

What is one way that knowledge is discovered?

Knowledge mechanisms facilitate combination and knowledge technologies facilitate socialization.

Knowledge discovery systems rely on mechanisms and technologies that support the combination and socialization processes.

Which of the following is not an area where DM has been applied to a business problem for knowledge discovery?

Eighty percent of the world's online content is in text-based format.

Describe the usage of DM efforts in the electric utility industry and why DM is needed?

What are the two important aspects addressed by creative brainstorming and how does creative brainstorming impact these aspects?

Introducing Knowledge Management

The Nature of Knowledge

Knowledge Management Foundations

Knowledge Management Solutions: Processes and Systems

Organizational Impacts of Knowledge Management

Knowledge Application Systems

Knowledge Capture Systems

Knowledge Sharing Systems

Emergent Knowledge Management Practices

Factors Influencing Knowledge Management

Leadership Assessment of Knowledge Management

The Future of Knowledge Management

Filters