Data Mining Text book: Introduction to data mining 2nd ed. Boston: Pearson, 2019: pang-ning tan, michael steinbach, vipin kumar

1Q:  Discuss the importance of preprocessing the datasets to ensure better data quality for data mining techniques. Give an example from your own personal experience. 1 page

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2Q: Discuss the advantages and disadvantages of using sampling to reduce the number of data objects that need to be displayed. Would simple random sampling (without replacement) be a good approach to sampling? Why or why not? – 1 page

3Q: Discuss the major issues in classification model overfitting. Give some examples to illustrate your points. – 1 page

Organization Leadership & Decision-Making Text book: James D. McKeen, Heather A. Smith, IT Strategy: Issues and Practices, Third Edition. Pearson, 2015, ISBN-13 978-0-13-354424-4.

4Q: Read the RR Communications Case Study in the textbook. Answer Questions 1-3 at the end of the Case Study. – 1 page

5Q: Read the Nationstate Case Study on pages in the textbook. Answer Questions 1-2 at the end of the Case Study. – 1 page


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