Question 1

List and briefly explain four of the factors to be considered when assessing a model to be used for classification.

Accepted Answer

Predictive accuracy.The model's ability to correctly predict the class label of new or previously unseen data.

Speed.Computational costs involved in generating and using the model,where faster is better.

Robustness.The model's ability to make reasonably accurate predictions,given noisy data or data with missing and erroneous values.

Scalability.The ability to construct a prediction model efficiently given a large amount of data.

Interpretability.The level of understanding and insight provided by the model.

Question 2

________ are essentially a hierarchy of if-then statements.They are most appropriate for categorical and interval data.

Accepted Answer

A)  Neural nets 
B)  Clusters 
C)  Decision trees 
D)  Time-series 
A)  Neural nets 
B)  Clusters 
C)  Decision trees 
D)  Time-series C

Question 3

The most commonly used measure to calculate the closeness between pairs of items in cluster analysis is the ________.

Accepted Answer

distance measure

Question 4

Why has data mining gained the attention of the business world?

Accepted Answer

A)  More intense competition at the global scale driven by customers' ever-changing needs and wants in an increasingly saturated marketplace. 
B)  Consolidation and integration of database records, which enables a single view of customers and vendors. 
C)  Significant reduction in the cost of hardware and software for data storage and processing. 
D)  All of the above 
A)  More intense competition at the global scale driven by customers' ever-changing needs and wants in an increasingly saturated marketplace. 
B)  Consolidation and integration of database records, which enables a single view of customers and vendors. 
C)  Significant reduction in the cost of hardware and software for data storage and processing. 
D)  All of the above

Question 5

In order to be applied successfully,a data mining study must be viewed as a set of automated software tools and techniques.

Accepted Answer

A) True 
 B)False

Question 6

Data mining requires a separate,dedicated database.

Accepted Answer

A) True 
 B)False

Question 7

Using existing and relevant data,data mining builds models to identify ________ among the attributes presented in the dataset.

Accepted Answer

The answer of Using existing and relevant data,data mining builds...

Question 8

List and briefly describe three of the major types of patterns that data mining attempts to identify.

Accepted Answer

Associations find the commonly co-occurr

Question 9

Two types of categorical data are nominal data and ordinal data.

Accepted Answer

A) True 
 B)False

Question 10

The model's ability to make reasonably accurate predictions,given noisy data or data with missing and erroneous values,is called ________.

Accepted Answer

The answer of The model's ability to make reasonably accurate...

Question 11

Data mining is tightly positioned at the intersection of many disciplines.Those disciplines include all of the following except:

Accepted Answer

A)  management science 
B)  statistics 
C)  information systems and databases 
D)  logistics 
A)  management science 
B)  statistics 
C)  information systems and databases 
D)  logistics

Question 12

Numeric data represent the numeric values of specific variables,which are ________ variables that can take on an infinite number of fractional values.

Accepted Answer

A)  discrete 
B)  continuous 
C)  interval 
D)  ratio 
A)  discrete 
B)  continuous 
C)  interval 
D)  ratio

Question 13

________ data can be readily represented by some sort of probability distribution.

Accepted Answer

The answer of ________ data can be readily represented by...

Question 14

________ data represent the labels of multiple classes used to divide a variable into specific groups.

Accepted Answer

The answer of ________ data represent the labels of multiple...

Question 15

A common example of interval scale measurement is temperature on the Celsius scale.

Accepted Answer

A) True 
 B)False

Question 16

The simple split methodology splits the data into two mutually exclusive subsets called a ________ set and a ________ set.

Accepted Answer

A)  training; test 
B)  positive; negative 
C)  holdout; training 
D)  matrix; test 
A)  training; test 
B)  positive; negative 
C)  holdout; training 
D)  matrix; test

Question 17

With ________,a fixed number of instances from the original data is sampled (with replacement)for training and the rest of the dataset is used for testing.This process is repeated as many times as desired.

Accepted Answer

The answer of With ________,a fixed number of instances from...

Question 18

The first step in the data mining process is to understand the relevant data from the available databases.

Accepted Answer

A) True 
 B)False

Question 19

Associations are a type of pattern that discovers time-ordered events,such as predicting that an existing banking customer who already has a checking account will open a savings account followed by an investment account within a year.

Accepted Answer

A) True 
 B)False

Question 20

List the four data preprocessing steps.

Accepted Answer

1.data consolidation

List and briefly explain four of the factors to be considered when assessing a model to be used for classification.

________ are essentially a hierarchy of if-then statements.They are most appropriate for categorical and interval data.

The most commonly used measure to calculate the closeness between pairs of items in cluster analysis is the ________.

Why has data mining gained the attention of the business world?

In order to be applied successfully,a data mining study must be viewed as a set of automated software tools and techniques.

Data mining requires a separate,dedicated database.

Using existing and relevant data,data mining builds models to identify ________ among the attributes presented in the dataset.

List and briefly describe three of the major types of patterns that data mining attempts to identify.

Two types of categorical data are nominal data and ordinal data.

The model's ability to make reasonably accurate predictions,given noisy data or data with missing and erroneous values,is called ________.

Data mining is tightly positioned at the intersection of many disciplines.Those disciplines include all of the following except:

Numeric data represent the numeric values of specific variables,which are ________ variables that can take on an infinite number of fractional values.

________ data can be readily represented by some sort of probability distribution.

________ data represent the labels of multiple classes used to divide a variable into specific groups.

A common example of interval scale measurement is temperature on the Celsius scale.

The simple split methodology splits the data into two mutually exclusive subsets called a set and a set.

With ________,a fixed number of instances from the original data is sampled (with replacement)for training and the rest of the dataset is used for testing.This process is repeated as many times as desired.

The first step in the data mining process is to understand the relevant data from the available databases.

Associations are a type of pattern that discovers time-ordered events,such as predicting that an existing banking customer who already has a checking account will open a savings account followed by an investment account within a year.

List the four data preprocessing steps.

Decision Support Systems and Business Intelligence

Decision Making, Systems, Modeling, and Support

Decision Support Systems Concepts, Methodologies, and Technologies:

Modeling and Analysis

Artificial Neural Networks for Data Mining

Text and Web Mining

Data Warehousing

Business Performance Management

Collaborative Computer-Supported Technologies and

Knowledge Management

Artificial Intelligence and Expert Systems

Advanced Intelligent Systems

Management Support Systems: Emerging Trends and Impacts

Filters

Exam 5: Data Mining for Business Intelligence

List and briefly explain four of the factors to be considered when assessing a model to be used for classification.

________ are essentially a hierarchy of if-then statements.They are most appropriate for categorical and interval data.

The most commonly used measure to calculate the closeness between pairs of items in cluster analysis is the ________.

Why has data mining gained the attention of the business world?

In order to be applied successfully,a data mining study must be viewed as a set of automated software tools and techniques.

Data mining requires a separate,dedicated database.

Using existing and relevant data,data mining builds models to identify ________ among the attributes presented in the dataset.

List and briefly describe three of the major types of patterns that data mining attempts to identify.

Two types of categorical data are nominal data and ordinal data.

The model's ability to make reasonably accurate predictions,given noisy data or data with missing and erroneous values,is called ________.

Data mining is tightly positioned at the intersection of many disciplines.Those disciplines include all of the following except:

Numeric data represent the numeric values of specific variables,which are ________ variables that can take on an infinite number of fractional values.

________ data can be readily represented by some sort of probability distribution.

________ data represent the labels of multiple classes used to divide a variable into specific groups.

A common example of interval scale measurement is temperature on the Celsius scale.

The simple split methodology splits the data into two mutually exclusive subsets called a ________ set and a ________ set.

With ________,a fixed number of instances from the original data is sampled (with replacement)for training and the rest of the dataset is used for testing.This process is repeated as many times as desired.

The first step in the data mining process is to understand the relevant data from the available databases.

Associations are a type of pattern that discovers time-ordered events,such as predicting that an existing banking customer who already has a checking account will open a savings account followed by an investment account within a year.

List the four data preprocessing steps.

Decision Support Systems and Business Intelligence

Decision Making, Systems, Modeling, and Support

Decision Support Systems Concepts, Methodologies, and Technologies:

Modeling and Analysis

Artificial Neural Networks for Data Mining

Text and Web Mining

Data Warehousing

Business Performance Management

Collaborative Computer-Supported Technologies and

Knowledge Management

Artificial Intelligence and Expert Systems

Advanced Intelligent Systems

Management Support Systems: Emerging Trends and Impacts

Filters

The simple split methodology splits the data into two mutually exclusive subsets called a set and a set.