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INFS 6720 – Data Mining
Chapter Discussion Questions
Chapter 3 – Basic Data Mining Techniques
1. How do association rules differ from traditional production rules? How are they the
same?
2. What is the usual definition of an optimal clustering of the K-Means algorithm?
3. Using the attribute age, draw an expanded version of the decision tree in Figure 3.4
that correctly classifies all training data instances.
4. Use the information in Table 3.5 to list three, two-item set rules. Use the data in
Table 3.3 to compute confidence and support values for each rule.
5. Perform the third iteration of the K-Means algorithm for the example given in the
section titled “An Example Using K-Means.” What are the new cluster centers?