Question 1

Which of the following is a fundamental difference between bagging and boosting?

Accepted Answer

A)   Bagging is used for supervised learning. Boosting is used with unsupervised clustering.
B)   Bagging gives varying weights to training instances. Boosting gives equal weight to all training instances.
C)   Bagging does not take the performance of previously built models into account when building a new model. With boosting each new model is built based upon the results of previous models.
D)   With boosting, each model has an equal weight in the classification of new instances. With bagging, individual models are given varying weights.E) A) and D)
F) C) and D)

Question 2

Which of the following problems is best solved using time-series analysis?

Accepted Answer

A)   Predict whether someone is a likely candidate for having a stroke.
B)   Determine if an individual should be given an unsecured loan.
C)   Develop a profile of a star athlete.
D)   Determine the likelihood that someone will terminate their cell phone contract.E) All of the above
F) C) and D)

Question 3

The training phase of a textual data mining process involves

Accepted Answer

A)   removing common words from a dictionary.
B)   creating an attribute dictionary.
C)   determining whether a document is about the topic under investigation.
D)   modifying an initially created attribute dictionary.E) B) and D)
F) None of the above

Question 4

A data mining algorithm designed to discover frequently accessed Web pages that occur in the same order.

Accepted Answer

A)   serial miner
B)   association rule miner
C)   sequence miner
D)   decision minerE) B) and D)
F) All of the above

Question 5

A data file that contains session information.

Accepted Answer

A)   cookie
B)   pageview
C)   page frame
D)   common logE) A) and D)
F) B) and D)

Question 6

Usage profiles for Web-based personalization contain several

Accepted Answer

A)   pageviews
B)   clickstreams
C)   cookies
D)   session filesE) All of the above
F) None of the above A

Question 7

The automation of Web site adaptation involves creating and deleting

Accepted Answer

A)   index pages
B)   cookies
C)   pageviews
D)   clickstreamsE) A) and B)
F) B) and D) A

Question 8

At least eighty percent of the time spent on a Web-based data mining project is devoted to this.

Accepted Answer

A)   goal idenficiation
B)   data preparation
C)   data mining
D)   interpretation of resultsE) All of the above
F) None of the above B

Question 9

These can be used to help select a best subset of training data.

Accepted Answer

A)   domain resemblance scores
B)   class resemblance scores
C)   instance typicality scores
D)   standard deviation scoresE) None of the above
F) All of the above

Question 10

A set of pageviews requested by a single user from a Web server.

Accepted Answer

A)   index page
B)   common log
C)   session
D)   page frameE) B) and D)
F) A) and D)

Exam 11: Specialized Techniques

Which of the following is a fundamental difference between bagging and boosting?

Correct Answer
verified

Which of the following problems is best solved using time-series analysis?

Correct Answer
verified

The training phase of a textual data mining process involves

Correct Answer
verified

A data mining algorithm designed to discover frequently accessed Web pages that occur in the same order.

Correct Answer
verified

A data file that contains session information.

Correct Answer
verified

Usage profiles for Web-based personalization contain several

Correct Answer
verified
A

The automation of Web site adaptation involves creating and deleting

Correct Answer
verified
A

At least eighty percent of the time spent on a Web-based data mining project is devoted to this.

Correct Answer
verified
B

These can be used to help select a best subset of training data.

Correct Answer
verified

A set of pageviews requested by a single user from a Web server.

Correct Answer
verified

Exam 11: Specialized Techniques

Which of the following is a fundamental difference between bagging and boosting?

Correct AnswerverifiedShow Answer

Which of the following problems is best solved using time-series analysis?

Correct AnswerverifiedShow Answer

The training phase of a textual data mining process involves

Correct AnswerverifiedShow Answer

A data mining algorithm designed to discover frequently accessed Web pages that occur in the same order.

Correct AnswerverifiedShow Answer

A data file that contains session information.

Correct AnswerverifiedShow Answer

Usage profiles for Web-based personalization contain several

Correct AnswerverifiedA

The automation of Web site adaptation involves creating and deleting

Correct AnswerverifiedA

At least eighty percent of the time spent on a Web-based data mining project is devoted to this.

Correct AnswerverifiedB

These can be used to help select a best subset of training data.

Correct AnswerverifiedShow Answer

A set of pageviews requested by a single user from a Web server.

Correct AnswerverifiedShow Answer

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified
A

Correct Answer
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A

Correct Answer
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B

Correct Answer
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Correct Answer
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