Homework: Introduction to Data Mining
Chapter 1
We focus on the introductory chapter in which we review data mining and the key components of data mining. In an essay format answer the following questions:
1. What is knowledge discovery in databases (KDD)?
2. Review section 1.2 and review the various motivating challenges. Select one and note what it is and why it is a challenge.
3. Note how data mining integrates with the components of statistics and AL, ML, and Pattern Recognition.
4. Note the difference between predictive and descriptive tasks and the importance of each.
Format your homework 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 homework, 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.
TextBook:
• Data Mining: Concepts and Techniques by Jiawei Han, Jian Pei, Micheline Kamber Date: 2011.
• Tatti, V. (2012). Comparing apples and oranges: measuring differences between exploratory data mining results. Data Mining and Knowledge Discovery, 25(2), 173-207.