Spam filtering for e mails can be seen as an example of which of the following types of approaches of data mining a reduction c cause and effect modeling b association d classification ABCD 16 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 a association c cause and effect modeling b reduction d classification ABCD 17 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 a association c classification b cause and effect modeling d reduction ABCD 18 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 a the hypotenuse c the long leg b the small leg d the average of the sum of both the legs ABCD 19 The effectiveness of a classification rule can be judged making a probability of misclassification errors and summarizing the results in a a classification matrix c dendogram b classification hierarchy d classification algorithm ABCD 20 Which of the following is true of the value of k in the k Nearest Neighbors algorithm 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 ABCD 21 The weights for determining the discriminant functions are determined by 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 ABCD 22 is the ratio of the number of transactions that include all items in the consequent as well as the antecedent to the number of transactions that include all items in the antecedent a Lift c Support for the association rule b Logit d Confidence of the association rule ABCD 23 In the cause and effect modeling, internal metrics, such as employee satisfaction, productivity, and turnover are considered to be measures a logit c leading b life d lagging ABCD 24 Which of the following best defines Monte Carlo simulation a It is a tool for building statistical models that characterize relationships among a dependent variable and one or more independent variables b It is a collection of techniques that seek to group or segment a collection of objects into subsets c It is the process of selecting values of decision variables that minimize or maximize some quantity of interest d It is the process of generating random values for uncertain inputs in a model and computing the output variables of interest ABCD 25 If a simulation has multiple output variables that are related to one another, the distributions of all output variables can be viewed on a single Risk Solver Platform chart called a(n a trend chart c overlay chart b sensitivity chart d box whisker chart

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Spam filtering for e-mails can be seen as an example of which of the following types of approaches of data mining? a. reduction c. cause-and-effect

Spam filtering for e-mails can be seen as an example of which of the following types of approaches of data mining?

a.	reduction	c.	cause-and-effect modeling
b.	association	d.	classification

ABCD

16.

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.

a.	association	c.	cause-and-effect modeling
b.	reduction	d.	classification

ABCD

17.

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?

a.	association	c.	classification
b.	cause-and-effect modeling	d.	reduction

ABCD

18.

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?

a.	the hypotenuse	c.	the long leg
b.	the small leg	d.	the average of the sum of both the legs

ABCD

19.

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

a.	classification matrix	c.	dendogram
b.	classification hierarchy	d.	classification algorithm

ABCD

20.

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

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.

ABCD

21.

The weights for determining the discriminant functions are determined by ________.

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

ABCD

22.

________ is the ratio of the number of transactions that include all items in the consequent as well as the antecedent to the number of transactions that include all items in the antecedent.

a.	Lift	c.	Support for the association rule
b.	Logit	d.	Confidence of the association rule

ABCD

23.

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

a.	logit	c.	leading
b.	life	d.	lagging

ABCD

24.

Which of the following best defines Monte Carlo simulation?

a.	It is a tool for building statistical models that characterize relationships among a dependent variable and one or more independent variables.
b.	It is a collection of techniques that seek to group or segment a collection of objects into subsets.
c.	It is the process of selecting values of decision variables that minimize or maximize some quantity of interest.
d.	It is the process of generating random values for uncertain inputs in a model and computing the output variables of interest.

ABCD

25.

If a simulation has multiple output variables that are related to one another, the distributions of all output variables can be viewed on a single Risk Solver Platform chart called a(n. ________.