Discussion 10

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Discussion 10

In this case analysis you are developing a model that melds management data from the San Francisco International Airport with information about the savings that Torontos Pearson Airport received after implementing similar credentialing software. You are going to need to apply assumptions developed from Torontos experience to the context of San Francisco. This sort of modeling approach requires that you make judgment calls and decide how conservative to be in adapting assumptions. Most importantly, the validity of the analysis requires that the two airports be reasonably comparable.
Before undertaking this discussion board assignment, read the case carefully, read the Excel assignment, and look over the workbook. Become familiar with the types of savings that Toronto experienced and that SFO anticipates.
In a post of 250 words, answer one of the following questions.
1. What are the key considerations in adapting the experience of Toronto to SFO? Be specific. For example, on what key dimensions are the airports comparable, and what makes them different in ways that might affect the software system? What are the implications for the cost analysis?2. Which factors do you think are going to drive the model (meaning, which are most important to the bottom line?) How are you planning to determine how sensitive your findings are to errors in the assumptions you make?

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Type: Discussion Board

Possible Points: (30 points)

Reading: Chapter 5 – Association Analysis: Basic Concepts and Algorithms

Due Date: Sunday 6/23/19

Primary Discussion Response is due by Thursday (11:59pm EST), Peer Responses are due by Sunday (11:59pm EST).

Primary Task Response: Within the Discussion Board area, write 800 words that respond to the following questions with your thoughts, ideas, and comments. This will be the basis for future discussions by your classmates. Be substantive and clear and use examples to reinforce your ideas.

Discussion Question

Chapter 5 discussed data conceptual and implementation issues that revolve around integrating the mining capability into existing (1) database technology, (2) developing efficient and scalable mining algorithms, (3) handling user-specified or domain-specific constraints, and (4) post-processing the extracted patterns.

Explain the data conceptual issues

Explain the data implementation issues

Describe the various advantages and disadvantages of integrating association analysis into existing database technology.

Responses to Other Students:

Respond to at least 2 of your fellow classmates with at least a 100-word reply about their Primary Task Response regarding items you found to be compelling and enlightening. To help you with your discussion, please consider the following questions:

What did you learn from your classmate’s posting?

What additional questions you have after reading your classmates posting?

What clarification do you need regarding your classmates posting?

What similarities and differences you identify between your posting and other classmates’ postings?

For assistance with your assignment, please use the course textbook, UC Library, Web resources, and all course materials.

1 day ago

Need to make question and answer in 800 words and responses in 250 words same format

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