Question 1

The effectiveness of a classification rule can be judged making a probability of misclassification errors and summarizing the results in a .

Accepted Answer

A)  classification matrix 
B)  classification hierarchy 
C)  dendogram 
D)  classification algorithm 
A)  classification matrix 
B)  classification hierarchy 
C)  dendogram 
D)  classification algorithm

Question 2

Lagging and leading measures in cause-and-effect modeling are uncorrelated.

Accepted Answer

A) True 
 B)False

Question 3

Which of the following is true of cluster analysis?

Accepted Answer

A)  It is a cause-and-modeling type of analytic model. 
B)  It does not provide a definitive answer from analyzing the data. 
C)  It is primarily a prescriptive analytical method. 
D)  It uses clustered data that are not affected by the specific method used. 
A)  It is a cause-and-modeling type of analytic model. 
B)  It does not provide a definitive answer from analyzing the data. 
C)  It is primarily a prescriptive analytical method. 
D)  It uses clustered data that are not affected by the specific method used.

Question 4

The weights for determining the discriminant functions are determined by .

Accepted Answer

A)  assessing the number of outliers that are present in each group 
B)  calculating the distance between the two closest observations in each group 
C)  measuring the closeness between predictor values of each set 
D)  maximizing the between-group variance relative to the within-group variance 
A)  assessing the number of outliers that are present in each group 
B)  calculating the distance between the two closest observations in each group 
C)  measuring the closeness between predictor values of each set 
D)  maximizing the between-group variance relative to the within-group variance

Question 5

The strength of the association rule, known as lift, is calculated as the ratio of the .

Accepted Answer

A)  sum of the antecedents and the consequents to the antecedents 
B)  antecedents to the consequents 
C)  support to the confidence level 
D)  confidence to expected confidence 
A)  sum of the antecedents and the consequents to the antecedents 
B)  antecedents to the consequents 
C)  support to the confidence level 
D)  confidence to expected confidence

Question 6

Which of the following is true of random partitioning?

Accepted Answer

A)  It cannot be used for creating training data sets. 
B)  It can contain any non-negative value from the observations. 
C)  It can include negative-value observations in its data. 
D)  It selects its data based on observations that have similar properties. 
A)  It cannot be used for creating training data sets. 
B)  It can contain any non-negative value from the observations. 
C)  It can include negative-value observations in its data. 
D)  It selects its data based on observations that have similar properties.

Question 7

Which of the following is true of the lift value in association rule?

Accepted Answer

A)  Its strength is directly proportional to the strength of the association rule. 
B)  It cannot have a value that is more than 1 to be considered a good minimum. 
C)  It provides information on the increase of the antecedent given the consequent. 
D)  It does not require the expected confidence to be calculated. 
A)  Its strength is directly proportional to the strength of the association rule. 
B)  It cannot have a value that is more than 1 to be considered a good minimum. 
C)  It provides information on the increase of the antecedent given the consequent. 
D)  It does not require the expected confidence to be calculated.

Question 8

In a k-Nearest Neighbors algorithm, similarity of records is based on the .

Accepted Answer

A)  closeness of a record to numerical predictors in the other records 
B)  sum of the squares of the distance between the numerical predictors 
C)  set of linear functions of predictors called discriminant functions 
D)  nearness of a record to its own observations 
A)  closeness of a record to numerical predictors in the other records 
B)  sum of the squares of the distance between the numerical predictors 
C)  set of linear functions of predictors called discriminant functions 
D)  nearness of a record to its own observations

Question 9

U-botit.com is an electronic commerce company that sells music online. It keeps a tab of what genre of music their registered customers buy. If u-botit.com were to use the data mining approach of association, which of the following actions would it take?

Accepted Answer

A)  send recommendations to customers based on their buying habits 
B)  conduct surveys to customers to gauge customer satisfaction 
C)  classify the customers based on the genre of music they listen to 
D)  provide discounts to certain genre buyers where sales are less 
A)  send recommendations to customers based on their buying habits 
B)  conduct surveys to customers to gauge customer satisfaction 
C)  classify the customers based on the genre of music they listen to 
D)  provide discounts to certain genre buyers where sales are less

Question 10

The algorithm is a classification scheme that attempts to find records in a database that are similar to one we wish to classify.

Accepted Answer

A)  linear regression 
B)  logistic regression 
C)  k-Nearest Neighbors 
D)  discriminant analysis 
A)  linear regression 
B)  logistic regression 
C)  k-Nearest Neighbors 
D)  discriminant analysis

Question 11

In the average linkage clustering, the distance between two clusters is defined as the average of distances between all pairs of objects, where each pair is made up of one object from each group.

Accepted Answer

A) True 
 B)False

Question 12

Which of the following is true of association rule mining?

Accepted Answer

A)  It develops analytic models to describe the relationship between metrics that drive business performance. 
B)  It identifies attributes that occur frequently together in a given data set. 
C)  It seeks to classify a categorical outcome into one of two or more categories. 
D)  It is a data reduction technique that reduces large information into smaller heterogeneous groups. 
A)  It develops analytic models to describe the relationship between metrics that drive business performance. 
B)  It identifies attributes that occur frequently together in a given data set. 
C)  It seeks to classify a categorical outcome into one of two or more categories. 
D)  It is a data reduction technique that reduces large information into smaller heterogeneous groups.

Question 13

Which of the following is true of the value of k in the k-Nearest Neighbors algorithm?

Accepted Answer

A)  The value of k is always taken as a constant and is equal to 1. 
B)  If the value of k is large, it drastically increases variability. 
C)  If the value k is very large, it introduces biases into the classification decisions. 
D)  If the value k is large, the classification of a record is very sensitive to the classification of the single record to which it is closest. 
A)  The value of k is always taken as a constant and is equal to 1. 
B)  If the value of k is large, it drastically increases variability. 
C)  If the value k is very large, it introduces biases into the classification decisions. 
D)  If the value k is large, the classification of a record is very sensitive to the classification of the single record to which it is closest.

The effectiveness of a classification rule can be judged making a probability of misclassification errors and summarizing the results in a .

Lagging and leading measures in cause-and-effect modeling are uncorrelated.

Which of the following is true of cluster analysis?

The weights for determining the discriminant functions are determined by .

The strength of the association rule, known as lift, is calculated as the ratio of the .

Which of the following is true of random partitioning?

Which of the following is true of the lift value in association rule?

In a k-Nearest Neighbors algorithm, similarity of records is based on the .

U-botit.com is an electronic commerce company that sells music online. It keeps a tab of what genre of music their registered customers buy. If u-botit.com were to use the data mining approach of association, which of the following actions would it take?

The algorithm is a classification scheme that attempts to find records in a database that are similar to one we wish to classify.

In the average linkage clustering, the distance between two clusters is defined as the average of distances between all pairs of objects, where each pair is made up of one object from each group.

Which of the following is true of association rule mining?

Which of the following is true of the value of k in the k-Nearest Neighbors algorithm?

Business Analytics

Analytics on Spreadsheets

Visualizing and Exploring Data

Descriptive Statistical Measures

Probability Distributions and Data Modeling

Sampling and Estimation

Statistical Inference

Trendlines and Regression Analysis

Forecasting Techniques

Spreadsheet Modeling and Analysis

Monte Carlo Simulation and Risk Analysis

Linear Optimization

Applications of Linear Optimization

Integer Optimization

Decision Analysis

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Exam 10: Introduction to Data Mining

The effectiveness of a classification rule can be judged making a probability of misclassification errors and summarizing the results in a .

Lagging and leading measures in cause-and-effect modeling are uncorrelated.

Which of the following is true of cluster analysis?

The weights for determining the discriminant functions are determined by .

The strength of the association rule, known as lift, is calculated as the ratio of the .

Which of the following is true of random partitioning?

Which of the following is true of the lift value in association rule?

In a k-Nearest Neighbors algorithm, similarity of records is based on the .

U-botit.com is an electronic commerce company that sells music online. It keeps a tab of what genre of music their registered customers buy. If u-botit.com were to use the data mining approach of association, which of the following actions would it take?

The algorithm is a classification scheme that attempts to find records in a database that are similar to one we wish to classify.

In the average linkage clustering, the distance between two clusters is defined as the average of distances between all pairs of objects, where each pair is made up of one object from each group.

Which of the following is true of association rule mining?

Which of the following is true of the value of k in the k-Nearest Neighbors algorithm?

Business Analytics

Analytics on Spreadsheets

Visualizing and Exploring Data

Descriptive Statistical Measures

Probability Distributions and Data Modeling

Sampling and Estimation

Statistical Inference

Trendlines and Regression Analysis

Forecasting Techniques

Spreadsheet Modeling and Analysis

Monte Carlo Simulation and Risk Analysis

Linear Optimization

Applications of Linear Optimization

Integer Optimization

Decision Analysis

Filters