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 there’s 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: