Question 1

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 2

________ systems integrate data from a variety of sources, process that data, and produce and deliver formatted reports to users.

Accepted Answer

A)  Data-mining 
B)  Reporting 
C)  Web service 
D)  XML 
E)  RFP 
A)  Data-mining 
B)  Reporting 
C)  Web service 
D)  XML 
E)  RFP

Question 3

When creating a data warehouse that will be used for BI, programs first must extract, ________ and prepare the operational data.

Accepted Answer

The answer of When creating a data warehouse that will...

Question 4

It is almost certain that in reality, when you take on a data-mining project, the data will be

Accepted Answer

A)  dirty. 
B)  full of viruses. 
C)  formatted properly. 
D)  buggy. 
E)  inconsistent. 
A)  dirty. 
B)  full of viruses. 
C)  formatted properly. 
D)  buggy. 
E)  inconsistent.

Question 5

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 6

Fine data are highly summarized.

Accepted Answer

A) True 
 B)False

Question 7

With ________, analysts do not create a model or hypothesis before running the analysis. Instead, they apply the data-mining technique to the data and observe the results.

Accepted Answer

A)  regression analysis 
B)  supervised data mining 
C)  neural networks 
D)  cluster analysis 
E)  unsupervised data mining 
A)  regression analysis 
B)  supervised data mining 
C)  neural networks 
D)  cluster analysis 
E)  unsupervised data mining

Question 8

Discovering patterns and relationships in data is the purpose of data mining.

Accepted Answer

A) True 
 B)False

Question 9

A person's clicking behaviour on the web is termed as their

Accepted Answer

A)  mouse trails. 
B)  webstream. 
C)  clickstream. 
D)  web tracks. 
E)  link journey. 
A)  mouse trails. 
B)  webstream. 
C)  clickstream. 
D)  web tracks. 
E)  link journey.

Question 10

What is unsupervised data mining?

Accepted Answer

In unsupervised data mining, analysts do

Question 11

Systems that focus on making data collected in OLTP to support decision making are often referred to as knowledge management systems.

Accepted Answer

A) True 
 B)False

Question 12

What is a data mart?

Accepted Answer

A data mart is a data collecti

Question 13

________ are another popular data-mining technique, which were originally based on the physiological analogy of how the neurons in the brain process huge amounts of data.

Accepted Answer

The answer of ________ are another popular data-mining technique, which...

Question 14

________ analysis is the most common kind of supervised data-mining technique.

Accepted Answer

The answer of ________ analysis is the most common kind...

Question 15

Before it can be loaded into the data warehouse, operational data must be extracted and

Accepted Answer

A)  sorted. 
B)  filtered. 
C)  dimensioned. 
D)  processed. 
E)  cleaned. 
A)  sorted. 
B)  filtered. 
C)  dimensioned. 
D)  processed. 
E)  cleaned.

Question 16

Customer's web clicking behaviour is called ________.

Accepted Answer

The answer of Customer's web clicking behaviour is called ________....

Question 17

As long as managers get the data they need, they will have no problems making decisions.

Accepted Answer

A) True 
 B)False

Question 18

An OLAP report has ________ and dimensions.

Accepted Answer

The answer of An OLAP report has ________ and dimensions....

Question 19

The hyper abundance of information is sometimes called

Accepted Answer

A)  data abundance. 
B)  Moore's Law. 
C)  the Ackoff principle. 
D)  information overload. 
E)  dirty data. 
A)  data abundance. 
B)  Moore's Law. 
C)  the Ackoff principle. 
D)  information overload. 
E)  dirty data.

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

________ systems integrate data from a variety of sources, process that data, and produce and deliver formatted reports to users.

When creating a data warehouse that will be used for BI, programs first must extract, ________ and prepare the operational data.

It is almost certain that in reality, when you take on a data-mining project, the data will be

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

Fine data are highly summarized.

With ________, analysts do not create a model or hypothesis before running the analysis. Instead, they apply the data-mining technique to the data and observe the results.

Discovering patterns and relationships in data is the purpose of data mining.

A person's clicking behaviour on the web is termed as their

What is unsupervised data mining?

Systems that focus on making data collected in OLTP to support decision making are often referred to as knowledge management systems.

What is a data mart?

________ are another popular data-mining technique, which were originally based on the physiological analogy of how the neurons in the brain process huge amounts of data.

________ analysis is the most common kind of supervised data-mining technique.

Before it can be loaded into the data warehouse, operational data must be extracted and

Customer's web clicking behaviour is called ________.

As long as managers get the data they need, they will have no problems making decisions.

An OLAP report has ________ and dimensions.

The hyper abundance of information is sometimes called

Information Systems and You

Business Processes and Decision Making

Application Extension-Introduction to Business Process Modeling With Microsoft Visio

Productivity, Innovation, and Strategy

Application Extension-Introduction to Microsoft Excel 2013

Hardware and Software

Database and Content Management

Extension-Using Microsoft Access 2013

Extension-Database Design

Networks and Collaboration

Competitive Advantage and Business Processes

E-commerce, Social Networking, and Web 20

Acquiring Information Systems Through Projects

Application Extension-Introduction to Microsoft Project

Structure, Governance, and Ethics

Managing Information Security and Privacy

Filters

Exam 12: Decision Making and Business Intelligence

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

________ systems integrate data from a variety of sources, process that data, and produce and deliver formatted reports to users.

When creating a data warehouse that will be used for BI, programs first must extract, ________ and prepare the operational data.

It is almost certain that in reality, when you take on a data-mining project, the data will be

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

Fine data are highly summarized.

With ________, analysts do not create a model or hypothesis before running the analysis. Instead, they apply the data-mining technique to the data and observe the results.

Discovering patterns and relationships in data is the purpose of data mining.

A person's clicking behaviour on the web is termed as their

What is unsupervised data mining?

Systems that focus on making data collected in OLTP to support decision making are often referred to as knowledge management systems.

What is a data mart?

________ are another popular data-mining technique, which were originally based on the physiological analogy of how the neurons in the brain process huge amounts of data.

________ analysis is the most common kind of supervised data-mining technique.

Before it can be loaded into the data warehouse, operational data must be extracted and

Customer's web clicking behaviour is called ________.

As long as managers get the data they need, they will have no problems making decisions.

An OLAP report has ________ and dimensions.

The hyper abundance of information is sometimes called

Information Systems and You

Business Processes and Decision Making

Application Extension-Introduction to Business Process Modeling With Microsoft Visio

Productivity, Innovation, and Strategy

Application Extension-Introduction to Microsoft Excel 2013

Hardware and Software

Database and Content Management

Extension-Using Microsoft Access 2013

Extension-Database Design

Networks and Collaboration

Competitive Advantage and Business Processes

E-commerce, Social Networking, and Web 20

Acquiring Information Systems Through Projects

Application Extension-Introduction to Microsoft Project

Structure, Governance, and Ethics

Managing Information Security and Privacy

Filters