BISI 3500 Data Mining

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Solution File Name: Part A (2) – 1234CCC.docx
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Problem:
1.Explain data mining and the data mining process

2.Data understanding and preparation:
Which variables are discrete and which are continuous.
What steps will you take in the preparation of your dataset before you employ the use of models.

3.Suppose we had data on the above attributes for Mr. Smith except his income category.
If the prediction task is to determine whether Mr. Smith makes over $75K a year, explain the steps you will take to perform make the prediction.
(Hint: specify and explain whether classification, regression, clustering, association, etc., suggest some algorithms (models) you may want to use, and how to validate your analysis)

4.Prediction task is to determine Mr. Smith age, explain the steps you will take to perform make the prediction.
(Hint: specify and explain whether classification, regression, clustering, association, etc., suggest some algorithms (models) you may want to use, and how to validate your analysis)

5.Suppose that we cannot establish any of the attributes as a class (or label) attribute, what type of analysis will be appropriate to bring some meaning to your dataset?
(Hint: specify and explain whether classification, regression, clustering, association, etc., suggest some algorithms (models) you may want to use).

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