Explain challenges that might be facedusing the algorithms

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Reference no: EM133551144

Assignment: Data Mining

Question A

What is the Virtuous Cycle of Data Mining? Describe in detail each of its four stages.

Question I. Identify the business problem: Finding the problem through the data. Talking to people

Question II. Transform data into actionable results: Using data to find business-oriented results.

Question III. Act on the knowledge: Including Insights, fixing data, real-time scoring etc....

Question IV. Measure the results: Did data work and would output expect results in relation to the business?

Question B

Question I. What is a good business goal? Break the business goal down in terms of datamining tasks, and explain one of the tasks for that specific goal.

Question II. List and explain what the six phases of The Cross-Industry Standard for DataMining do and how might they affect a business?

Question C

Question I. Identify and explain the:
1. Advantages of decision trees
2. Applications of decision trees

Question II. 1. Give two examples of decision tree algorithms.
2. Explain the challenges that might be facedusing thesealgorithms.
3. Discuss potential applications of decision trees to businessdata mining.

Question D

Question I. List all five steps to applying neural networks toapplications and explainand discuss was it entailed in each step.

Question II. How does a neural network learn with backpropagation? List the threeways and discuss and expand on each step.

Question III. Where can neural networks be used in practice and discuss how do theywork in that industry?

Question E

Question I. What purpose does cluster analysis serve, and discuss how does it benefit analysts?

Question II. What are the most widely used clustering methods? Explain what they do.

Question III. What are the variations on K-Means? Explain the uses.

Question IV. What are two real applications of cluster analysis? Explain how cluster analysis is used in these applications.

Reference no: EM133551144

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