AN 300 EXAM 2 PRACTICE EXAM QUESTIONS &
ANSWERS
Which of the following is FALSE about cluster analysis. Check all that apply. - Answers
:-It organizes objects into groups to minimize dissimilarities of objects between groups
-It is to answer the what "could" happen questions
-It has prior knowledge on the number of groups to be formed
-It organizes objects into groups to maximize dissimilarities of objects within groups.
The data about the object is quantitative. - Answers :Euclidian Distance
The data about the object is qualitative. - Answers :Matching coefficient
The similarity between two objects is the length of a straight line between them. -
Answers :Euclidean distance
The data about the object must be standardized before calculating the similarity
measure. - Answers :Euclidean distance
The higher the similarity measure the better. - Answers :Matching coefficient
Which of the following is FALSE about association rule analysis? Check all that apply. -
Answers :-It uses a measure called confidence to evaluate the proportion of events that
satisfy the rule.
-It discovers correlations among objects of interest.
-It can be applied for personalized financial advising.
Which of the following is FALSE about text mining? Check all that apply. - Answers :-It
can be applied for outlier detection.
-It analyses data in a structure called Document-Text-Matrix.
-It works with words and phrases only.
-It excludes stem words from analysis in terming.
"buy", "buying", "buys" are recoded as "buy". - Answers :Stemming
"technical support", "help desk", "support desk" are treated as "support". - Answers
:Phrasing
Terms that have a count of one are excluded from analysis. - Answers :Stop word
terming
"tired", "exhausted", "sleepy", "drained" are recoded as "tired". - Answers :Synonyms
tokenizing
ANSWERS
Which of the following is FALSE about cluster analysis. Check all that apply. - Answers
:-It organizes objects into groups to minimize dissimilarities of objects between groups
-It is to answer the what "could" happen questions
-It has prior knowledge on the number of groups to be formed
-It organizes objects into groups to maximize dissimilarities of objects within groups.
The data about the object is quantitative. - Answers :Euclidian Distance
The data about the object is qualitative. - Answers :Matching coefficient
The similarity between two objects is the length of a straight line between them. -
Answers :Euclidean distance
The data about the object must be standardized before calculating the similarity
measure. - Answers :Euclidean distance
The higher the similarity measure the better. - Answers :Matching coefficient
Which of the following is FALSE about association rule analysis? Check all that apply. -
Answers :-It uses a measure called confidence to evaluate the proportion of events that
satisfy the rule.
-It discovers correlations among objects of interest.
-It can be applied for personalized financial advising.
Which of the following is FALSE about text mining? Check all that apply. - Answers :-It
can be applied for outlier detection.
-It analyses data in a structure called Document-Text-Matrix.
-It works with words and phrases only.
-It excludes stem words from analysis in terming.
"buy", "buying", "buys" are recoded as "buy". - Answers :Stemming
"technical support", "help desk", "support desk" are treated as "support". - Answers
:Phrasing
Terms that have a count of one are excluded from analysis. - Answers :Stop word
terming
"tired", "exhausted", "sleepy", "drained" are recoded as "tired". - Answers :Synonyms
tokenizing
