Discussions

It is expected from you to read the discussion carefully and respond to the initial discussion by the end of the Wednesday of each Part, so you give enough time to your peers to respond to your initial post.

1. All the initial post must be between 400 to 600 words, APA format
2. Responses to your peers must be between 300 to 400 words.

Part 1

Question: What are some major data mining methods and algorithms?

Part 2

Question: What would be the impact of predictive modeling on healthcare and medicine? Can predictive modeling replace managerial or medical personnel?

Part 3

Question: What is text analytics? How does it differ from text mining?

Part 4

Question: Based on what you learn from the vignette, what do you think are the relationships between Web analytics, text mining, and sentiment analysis?

Part 5

Question: How can decision-making problems under assumed uncertainty are handled?

Part 6

Question: List and describe the types of simulation

Part 7

Question: Define knowledge repository and describe how to create one.

Part 8

Question: What is Big Data analytics? How does it differ from regular analytics?

Part 9

Question: Why perform consumer analytics?