1. What is Data Exploration? 2. Describe the four Basic Decision Tree Learning Methods? 3. Describe the two main Characteristics of Rule-Based Classifier. 4. Suppose that theres a total of 50 data mining related documents in a library of 200 documents. Suppose that a search engine retrieves 10 documents after a user enters data mining as a query, of which 5 are data mining related documents. What are the precision and recall? 5. There are 7 common challenges of Data Mining. List the challenges below: 6. What is the Two-Step approach of Mining Association Rules? 7. What are the 4 types of Attributes in Data Mining? Provide an example of each type of Attributes: 8. Describe and Explain the differences between Discrete and Continuous Attributes: 9. List and Explain the three Frequent Itemset Generation Strategies:
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