Question 1

Which of the following features of classification, used in Excel, for a particular database will necessarily be coded to a certain value?

Accepted Answer

A)  categorical variables 
B)  non-numerical variables 
C)  predictor variables 
D)  numerical variables

Question 2

is a collection of techniques that seek to group or segment a collection of objects or observations into subsets, such that those within each subset are more closely related to one another than objects assigned to different subsets.

Accepted Answer

A)  Association 
B)  Discriminant analysis 
C)  Cluster analysis 
D)  Logistic regression

Question 3

Divisive clustering method is different from agglomerative clustering methods in that divisive clustering methods .

Accepted Answer

A)  can only have a pair of subjects in each cluster 
B)  separate objects into a particular cluster in one step 
C)  separate n objects successively into finer groupings 
D)  can only have a single subject in each cluster

Question 4

Sendstars is a package delivering company that recently made a study on its customer retention and service renewal metrics. They found that most customers defected from using Sendstars' services due to customer dissatisfaction stemming from delivery personnel being rude or ill-mannered. To curb this issue, Sendstars gave special training to its employees in customer service. Which of the following data mining approaches did Sendstars employ when they decided to train their employees in customer care based on the study?

Accepted Answer

A)  association 
B)  cause-and-effect modeling 
C)  classification 
D)  reduction

Question 5

Which of the following would be considered a lagging measure in a restaurant using the cause-and-modeling method of data mining?

Accepted Answer

A)  a manager who is having trouble meeting the daily demands 
B)  a waiter's behavior toward a customer 
C)  an accurately billed meal 
D)  a satisfied customer

Question 6

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.

Question 7

In the cause-and-effect modeling, internal metrics, such as employee satisfaction, productivity, and turnover are considered to be measures.

Accepted Answer

A)  logit 
B)  life 
C)  leading 
D)  lagging

Question 8

Which of the following is true of Association?

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.

Question 9

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

Question 10

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

Question 11

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

Question 12

In association analysis, the antecedent and consequent are sets of items that do not have any items in common.

Accepted Answer

A) True 
 B)False

Question 13

Which of the following is the first stage of joining clusters in agglomerative hierarchical clustering?

Accepted Answer

A)  by separating clusters into finer groups 
B)  by joining two clusters farthest away from each other 
C)  by joining two clusters that are not at a Euclidean distance 
D)  by joining two clusters that are closest to each other

Question 14

Which of the following typically describes the support for the association rule?

Accepted Answer

A)  the number of transactions that include all items that are in the antecedent parts of the rule 
B)  the number of transactions that include all items in the antecedent and consequent parts of the rule 
C)  the number of transactions that include half from the antecedent and half from the consequent 
D)  the number of transactions that include all items that are in the consequent parts of the rule

Question 15

The data mining approach called involves the developing of analytic models to describe the relationship between metrics that drive business performance like profitability, customer satisfaction, or employee satisfaction.

Accepted Answer

A)  association 
B)  reduction 
C)  cause-and-effect modeling 
D)  classification

Question 16

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 17

In the method, the distance between groups is defined as the distance between the closest pair of objects, where only pairs consisting of one object from each group are considered.

Accepted Answer

A)  Ward's linkage clustering 
B)  single linkage clustering 
C)  divisive clustering 
D)  average group linkage clustering

Question 18

Which of the following is true of logistic regression as a classifying method?

Accepted Answer

A)  Its dependent variable is always categorical. 
B)  Its independent variable is always continuous or numerical. 
C)  It predicts the probability of output variables based on dependent variables. 
D)  It cannot be used when the depIIdent variable is binary.

Question 19

Exemplify the k-Nearest Neighbor algorithm of classification.

Accepted Answer

The answer of Exemplify the k-Nearest Neighbor algorithm of classification....

Question 20

If the Euclidean distance were to be represented in a right triangle, which of the following would be considered the distance between two objects of a cluster?

Accepted Answer

A)  the hypotenuse 
B)  the small leg 
C)  the long leg 
D)  the average of the sum of both the legs

Exam 10: Introduction to Data Mining