Question 1

List five reasons for the growing popularity of data mining in the business world.

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Question 2

List and briefly describe the six steps of the CRISP-DM data mining process.

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Question 3

Describe the role of the simple split in estimating the accuracy of classification models.

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Question 4

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

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Question 5

List four myths associated with data mining.

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Question 6

In the data mining in Hollywood case study,how successful were the models in predicting the success or failure of a Hollywood movie?

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Question 7

Describe cluster analysis and some of its applications.

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Question 8

List six common data mining mistakes.

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Question 9

What are the differences between nominal,ordinal,interval and ratio data? Give examples.

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Question 10

In lessons learned from the Target case,what legal warnings would you give another retailer using data mining for marketing?

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Quiz 4: Data Mining

List five reasons for the growing popularity of data mining in the business world.