Superb Professors

Choose one Business question and answer it
Answer your choice of one of the discussion questions below. Please clearly indicate which question you’re answering by labeling it with the question number (e.g. “Question 1”).
1. Define the data mining technique of cluster analysis, and describe the various clustering methods. How might cluster analysis be used in your own workplace (past or present)?
2. Define the data mining technique of classification, and describe the various classification techniques. How might classification be used in your own workplace (past or present)?
3. Define the data mining technique of association rule mining. Provide an example to illustrate association rule mining that is taken from your own workplace (past or present)?
4. What is the lift value in an association rule? Provide an example to illustrate lift value that is taken from your own workplace (past or present)?
5. What two numbers are used to express the degree of uncertainty about a rule identified in association rule mining? Define each and provide an example taken from your own workplace (past or present).
6. Define the data mining technique of cause-and-effect modeling. Provide an example to illustrate cause-and-effect modeling that is taken from your own workplace (past or present)?
7. Define lagging and leading measures in cause-and-effect modeling. Provide an example to illustrate lagging and leading measures that is taken from your own workplace (past or present)?
8. Explain logistic regression for classifying data, and discuss how it is different from linear regression. Provide an example to illustrate the difference that is taken from your own workplace (past or present)?
Your initial post must be at least 200 words in length and must include references from reliable sources.
220 words
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