Question 1

Patterns have been manually ________ from data by humans for centuries, but the increasing volume of data in modern times has created a need for more automatic approaches.

Accepted Answer

The answer of Patterns have been manually ________ from data...

Question 2

What is the main reason parallel processing is sometimes used for data mining?

Accepted Answer

A)   because the hardware exists in most organizations and it is available to use
B)   because the most of the algorithms used for data mining require it
C)   because of the massive data amounts and search efforts involved
D)   because any strategic application requires parallel processingE) All of the above
F) None of the above

Question 3

Statistics and data mining both look for data sets that are as large as possible.

Accepted Answer

A) True 
 B)False

Question 4

Briefly describe five techniques (or algorithms) that are used for classification modeling.

Accepted Answer

•Decision tree analysis. Decision...

Question 5

Which data mining process/methodology is thought to be the most comprehensive, according to kdnuggets.com rankings?

Accepted Answer

A)   SEMMA
B)   proprietary organizational methodologies
C)   KDD Process
D)   CRISP-DME) All of the above
F) B) and D)

Question 6

Data mining can be very useful in detecting patterns such as credit card fraud, but is of little help in improving sales.

Accepted Answer

A) True 
 B)False

Question 7

Data mining requires specialized data analysts to ask ad hoc questions and obtain answers quickly from the system.

Accepted Answer

A) True 
 B)False

Question 8

Because of its successful application to retail business problems, association rule mining is commonly called ________.

Accepted Answer

market-bas...

Question 9

What does the scalability of a data mining method refer to?

Accepted Answer

A)   its ability to predict the outcome of a previously unknown data set accurately
B)   its speed of computation and computational costs in using the mode
C)   its ability to construct a prediction model efficiently given a large amount of data
D)   its ability to overcome noisy data to make somewhat accurate predictionsE) B) and D)
F) B) and C)

Question 10

As described in the 2degrees case study, a common problem in the mobile telecommunications industry is defined by the term ________, which means customers leaving.

Accepted Answer

The answer of As described in the 2degrees case study,...

Question 11

Data preparation, the third step in the CRISP-DM data mining process, is more commonly known as ________.

Accepted Answer

The answer of Data preparation, the third step in the...

Question 12

Knowledge extraction, pattern analysis, data archaeology, information harvesting, pattern searching, and data dredging are all alternative names for ________.

Accepted Answer

The answer of Knowledge extraction, pattern analysis, data archaeology, information...

Question 13

Which broad area of data mining applications analyzes data, forming rules to distinguish between defined classes?

Accepted Answer

A)   associations
B)   visualization
C)   classification
D)   clusteringE) C) and D)
F) A) and D)

Question 14

The data mining algorithm type used for classification somewhat resembling the biological neural networks in the human brain is

Accepted Answer

A)   association rule mining.
B)   cluster analysis.
C)   decision trees.
D)   artificial neural networks.E) A) and B)
F) A) and C)

Question 15

The data mining in cancer research case study explains that data mining methods are capable of extracting patterns and ________ hidden deep in large and complex medical databases.

Accepted Answer

The answer of The data mining in cancer research case...

Question 16

Fayyad et al. (1996) defined ________ in databases as a process of using data mining methods to find useful information and patterns in the data.

Accepted Answer

The answer of Fayyad et al. (1996) defined ________ in...

Question 17

If using a mining analogy, "knowledge mining" would be a more appropriate term than "data mining."

Accepted Answer

A) True 
 B)False

Question 18

________ represent the labels of multiple classes used to divide a variable into specific groups, examples of which include race, sex, age group, and educational level.

Accepted Answer

The answer of ________ represent the labels of multiple classes...

Question 19

In estimating the accuracy of data mining (or other)  classification models, the true positive rate is

Accepted Answer

A)   the ratio of correctly classified positives divided by the total positive count.
B)   the ratio of correctly classified negatives divided by the total negative count.
C)   the ratio of correctly classified positives divided by the sum of correctly classified positives and incorrectly classified positives.
D)   the ratio of correctly classified positives divided by the sum of correctly classified positives and incorrectly classified negatives.E) A) and B)
F) None of the above

Question 20

All of the following statements about data mining are true EXCEPT

Accepted Answer

A)   understanding the business goal is critical.
B)   understanding the data, e .g., the relevant variables, is critical to success.
C)   building the model takes the most time and effort.
D)   data is typically preprocessed and/or cleaned before use.E) A) and D)
F) A) and C)

Exam 5: Data Mining

Which data mining process/methodology is thought to be the most comprehensive, according to kdnuggets.com rankings?

Correct AnswerverifiedShow Answer

________ represent the labels of multiple classes used to divide a variable into specific groups, examples of which include race, sex, age group, and educational level.

Correct AnswerverifiedShow Answer

Patterns have been manually ________ from data by humans for centuries, but the increasing volume of data in modern times has created a need for more automatic approaches.

Correct AnswerverifiedShow Answer

Statistics and data mining both look for data sets that are as large as possible.

Correct AnswerverifiedShow Answer

Knowledge extraction, pattern analysis, data archaeology, information harvesting, pattern searching, and data dredging are all alternative names for ________.

Correct AnswerverifiedShow Answer

In estimating the accuracy of data mining (or other) classification models, the true positive rate is

Correct AnswerverifiedShow Answer

What does the scalability of a data mining method refer to?

Correct AnswerverifiedShow Answer

Data mining requires specialized data analysts to ask ad hoc questions and obtain answers quickly from the system.

Correct AnswerverifiedShow Answer

Fayyad et al. (1996) defined ________ in databases as a process of using data mining methods to find useful information and patterns in the data.

Correct AnswerverifiedShow Answer

If using a mining analogy, "knowledge mining" would be a more appropriate term than "data mining."

Correct AnswerverifiedShow Answer

All of the following statements about data mining are true EXCEPT

Correct AnswerverifiedShow Answer

The data mining in cancer research case study explains that data mining methods are capable of extracting patterns and ________ hidden deep in large and complex medical databases.

Correct AnswerverifiedShow Answer

Briefly describe five techniques (or algorithms) that are used for classification modeling.

Correct Answerverified•Decision tree analysis. Decision...View AnswerShow Answer

What is the main reason parallel processing is sometimes used for data mining?

Correct AnswerverifiedShow Answer

As described in the 2degrees case study, a common problem in the mobile telecommunications industry is defined by the term ________, which means customers leaving.

Correct AnswerverifiedShow Answer

Because of its successful application to retail business problems, association rule mining is commonly called ________.

Correct Answerverifiedmarket-bas...View AnswerShow Answer

The data mining algorithm type used for classification somewhat resembling the biological neural networks in the human brain is

Correct AnswerverifiedShow Answer

Data mining can be very useful in detecting patterns such as credit card fraud, but is of little help in improving sales.

Correct AnswerverifiedShow Answer

Data preparation, the third step in the CRISP-DM data mining process, is more commonly known as ________.

Correct AnswerverifiedShow Answer

Which broad area of data mining applications analyzes data, forming rules to distinguish between defined classes?

Correct AnswerverifiedShow Answer

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•Decision tree analysis. Decision...
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market-bas...
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