Assignment
a) What is Data Exploration?
b) Describe the four Basic Decision Tree Learning Methods?
c) Describe the two main Characteristics of Rule-Based Classifier.
d) 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?
e) There are 7 common challenges of Data Mining. List the challenges below:
f) What is the Two-Step approach of Mining Association Rules?
g) What are the 4 types of Attributes in Data Mining? Provide an example of each type of Attributes:
h) Describe and Explain the differences between Discrete and Continuous Attributes:
9. List and Explain the three "Frequent Itemset Generation Strategies":
Format your assignment according to the give formatting requirements:
• The answer must be using Times New Roman font (size 12), double spaced, typed, with one-inch margins on all sides.
• The response also includes a cover page containing the student's name, the title of the assignment, the course title, and the date. The cover page is not included in the required page length.
• Also include a reference page. The references and Citations should follow APA format. The reference page is not included in the required page length.