WPI Worcester Polytechnic Institute

Computer Science Department
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CS 548 KNOWLEDGE DISCOVERY AND DATA MINING - Fall 2017  
Project 2: Decision Trees, Linear Regression, Model Trees, Regression Trees

PROF. CAROLINA RUIZ 

DUE DATE: Tuesday October 10th, 2017. ------------------------------------------

Project Assignment:

  1. Study Sections 4.1-4.5 and Appendix D of the textbook in great detail.

  2. Study Witten's, Frank's, and Hall textbook (available on reserve in the WPI Library) Sect. 3.3, 4.6 (linear regression), and 6.6.

  3. Study all the materials posted on the course Lecture Notes: In particular, you should know the algorithms to construct decision trees, regression trees, and model trees very well, and be able to use these algorithms to construct trees from data by hand during the test. See examples provided in the Lecture Notes linked above. (Note: for model and regression trees, a software tool will be used to obtain the necessary linear regressions.)

  4. THOROUGHLY READ AND FOLLOW THE PROJECT GUIDELINES. These guidelines contain detailed information about how to structure your project, and how to prepare your written summary, and how to study for the test.

    *** You must use the Project 2 Template provided for your written report. Do not exceed the page limits stated in the template nor decrease the font size ***. (If you prefer not to use Word, you can copy and paste this format in a different editor as long as you respect the stated page structure and page limit.)