ITC563 Data Mining

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Question:

Interpret the output in your own words.

Review the first few dozen rules. Comment on their redundancy and discuss how you would rate the utility of the rules.

What would the effect be on the resulting rules if Minimum Confidence (%) were raised to 75?

Discuss the reasons for this.

a) Use Ward’s and Euclidean distance for hierarchical clustering.

Be sure to normalize first.

How many clusters are there?

b. What would happen if data were not normalized

c. Compare the cluster centroid to identify the different clusters. Give each cluster a label.

d. Use K-means Clustering with the number clusters you have found.

Do you see the same image?

e. Which clusters would be best for you to target and what type of offers would they offer?

Answer:

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