Question 1

What are common problems with data?

Accepted Answer

A) dirty data 
B) either too fine or too coarse 
C) inconsistent data 
D) missing values 
E) all of the above 
A) dirty data 
B) either too fine or too coarse 
C) inconsistent data 
D) missing values 
E) all of the above

Question 2

For developing BI applications,it is generally better to have too  __________  a granularity rather than too coarse.

Accepted Answer

The answer of For developing BI applications,it is generally better...

Question 3

With supervised data mining,data miners develop a model prior to the analysis and apply statistical techniques to data to estimate parameters of the model.

Accepted Answer

A) True 
 B)False

Question 4

What is online transaction processing?

Accepted Answer

If you are collecting data ele

Question 5

The term "knowledge discovery in databases" is a synonym for ____________  .

Accepted Answer

The answer of The term "knowledge discovery in databases" is...

Question 6

Managers suffer more from an overabundance of irrelevant data.

Accepted Answer

A) True 
 B)False

Question 7

___________analysis measures the impact of a set of variables on another variable.

Accepted Answer

The answer of ___________analysis measures the impact of a set...

Question 8

__________  analysis that identifies groups of entities with similar characteristics is a common unsupervised data -mining technique.

Accepted Answer

The answer of  __________  analysis that identifies groups...

Question 9

Systems that focus on making data collected in OLTP useful for decision making are often referred to as expert systems.

Accepted Answer

A) True 
 B)False

Question 10

A data mart is a data collection that is created to address the needs of a particular business function,problem,or opportunity.

Accepted Answer

A) True 
 B)False

Question 11

Reporting systems are programs that read data from a variety of sources,process that data,produce and deliver formatted reports to users.

Accepted Answer

A) True 
 B)False

Question 12

The purpose of a(n)__________ is to extract and clean data from operational systems and other sources.

Accepted Answer

The answer of The purpose of a(n)__________ is to extract...

Question 13

With supervised data mining,analysts do not create a model or hypothesis before running the analysis.

Accepted Answer

A) True 
 B)False

Question 14

__________  is a problem that occurs when data -mining is used to create overly complex models that are not suited to making accurate predictions.

Accepted Answer

A) Dirty data 
B) Model degradation 
C) Overfitting 
D) Clean data 
E) Inconsistent data 
A) Dirty data 
B) Model degradation 
C) Overfitting 
D) Clean data 
E) Inconsistent data

Question 15

What is meant by supervised and unsupervised data mining? Describe one example of each technique.

Accepted Answer

Data mining is the application of statis

Question 16

Problematic data are termed missing values.

Accepted Answer

A) True 
 B)False

Question 17

Is it better data that is too fine or too coarse? Explain.

Accepted Answer

Generally,it is better to have too fine

Question 18

___________systems are the equivalent of a telescope for data.They help us to search huge amounts of data for patterns and relationships.

Accepted Answer

Business i

Question 19

Data -mining is about probabilities not certainties.So sometimes a good model may look bad because of a string of bad luck.

Accepted Answer

A) True 
 B)False

Question 20

__________  encapsulate the knowledge of human experts in the form of if -then rules.

Accepted Answer

A) Customer Relationship Management 
B) Expert Systems 
C) Data mining systems 
D) Reporting systems 
E) Business intelligence 
A) Customer Relationship Management 
B) Expert Systems 
C) Data mining systems 
D) Reporting systems 
E) Business intelligence

What are common problems with data?

For developing BI applications,it is generally better to have too __________ a granularity rather than too coarse.

With supervised data mining,data miners develop a model prior to the analysis and apply statistical techniques to data to estimate parameters of the model.

What is online transaction processing?

The term "knowledge discovery in databases" is a synonym for ____________ .

Managers suffer more from an overabundance of irrelevant data.

___________analysis measures the impact of a set of variables on another variable.

__________ analysis that identifies groups of entities with similar characteristics is a common unsupervised data -mining technique.

Systems that focus on making data collected in OLTP useful for decision making are often referred to as expert systems.

A data mart is a data collection that is created to address the needs of a particular business function,problem,or opportunity.

Reporting systems are programs that read data from a variety of sources,process that data,produce and deliver formatted reports to users.

The purpose of a(n)__________ is to extract and clean data from operational systems and other sources.

With supervised data mining,analysts do not create a model or hypothesis before running the analysis.

__________ is a problem that occurs when data -mining is used to create overly complex models that are not suited to making accurate predictions.

What is meant by supervised and unsupervised data mining? Describe one example of each technique.

Problematic data are termed missing values.

Is it better data that is too fine or too coarse? Explain.

___________systems are the equivalent of a telescope for data.They help us to search huge amounts of data for patterns and relationships.

Data -mining is about probabilities not certainties.So sometimes a good model may look bad because of a string of bad luck.

__________ encapsulate the knowledge of human experts in the form of if -then rules.

Is in the Life of Business Professionals

Business Processes, Information, and Information Systems

Extensions S: Using Collaboration Information Systems

Organizational Strategy, Information Systems, and Competitive Advantage

Hardware and Software

Database Processing

Extensions A: Introduction to Microsoft Excel

Extensions B: Introduction to Microsoft Excel

Data Communications

Business Process Management

Business Intelligence and Information Systems for Decision Making

Information Systems Development

Extensions A: How the Internet Works

Information Systems Management

Information Security Management

Filters

Exam 8: E-Commerce and Web 2.0

What are common problems with data?

For developing BI applications,it is generally better to have too __________ a granularity rather than too coarse.

With supervised data mining,data miners develop a model prior to the analysis and apply statistical techniques to data to estimate parameters of the model.

What is online transaction processing?

The term "knowledge discovery in databases" is a synonym for ____________ .

Managers suffer more from an overabundance of irrelevant data.

___________analysis measures the impact of a set of variables on another variable.

__________ analysis that identifies groups of entities with similar characteristics is a common unsupervised data -mining technique.

Systems that focus on making data collected in OLTP useful for decision making are often referred to as expert systems.

A data mart is a data collection that is created to address the needs of a particular business function,problem,or opportunity.

Reporting systems are programs that read data from a variety of sources,process that data,produce and deliver formatted reports to users.

The purpose of a(n)__________ is to extract and clean data from operational systems and other sources.

With supervised data mining,analysts do not create a model or hypothesis before running the analysis.

__________ is a problem that occurs when data -mining is used to create overly complex models that are not suited to making accurate predictions.

What is meant by supervised and unsupervised data mining? Describe one example of each technique.

Problematic data are termed missing values.

Is it better data that is too fine or too coarse? Explain.

___________systems are the equivalent of a telescope for data.They help us to search huge amounts of data for patterns and relationships.

Data -mining is about probabilities not certainties.So sometimes a good model may look bad because of a string of bad luck.

__________ encapsulate the knowledge of human experts in the form of if -then rules.

Is in the Life of Business Professionals

Business Processes, Information, and Information Systems

Extensions S: Using Collaboration Information Systems

Organizational Strategy, Information Systems, and Competitive Advantage

Hardware and Software

Database Processing

Extensions A: Introduction to Microsoft Excel

Extensions B: Introduction to Microsoft Excel

Data Communications

Business Process Management

Business Intelligence and Information Systems for Decision Making

Information Systems Development

Extensions A: How the Internet Works

Information Systems Management

Information Security Management

Filters