Assignment
Part 1
Data Mining Text book: Introduction to data mining 2nd ed. Boston: Pearson, 2019: pang-ning tan, michael steinbach, vipin kumar
1. Compare different Ensemble methods with appropriate examples. 1 page
2. Discuss the strengths and weaknesses of using K-Means clustering algorithm to cluster multi class data sets. How do you compare it with a hierarchical clustering technique- 1 page
3. Compare and contrast the different techniques for anomaly detection that were presented in Chapter 9. Discuss techniques for combining multiple anomaly detection techniques to improve the identification of anomalous objects- 1 page
Part 2
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.
1. Read the Consumerization of Technology at IFG Case Study on pages 239-242 in the textbook. Answer the Discussion Questions at the end of the Case Study- 1 page
2. Read the Innovation at International Foods Case Study on pages 234-238 in the textbook. Answer the Discussion Questions at the end of the Case Study. Your responses must be complete, detailed and in APA format. See the sample assignment for expected format and length. The grading rubric is included below - 1 page
Format your assignment according to the give formatting requirements:
• The answer must be using Times New Roman font (size 12), double spaced, typed, with one-inch margins on all sides.
• The response also includes a cover page containing the student's name, the title of the assignment, the course title, and the date. The cover page is not included in the required page length.
• Also include a reference page. The references and Citations should follow APA format. The reference page is not included in the required page length.