DCS 802 Data Mining

Instructor: Prof. Sung-Hyuk Cha Email: scha@pace.edu Tel: (914) 773-3449 Office: Goldstein Academic Building, Rm. 318 at Pleasantville Meeting: Time: Saturday 3:00 - 5:15 Spring 2002 Place: Graduate Center at White Plains campus rm 306 Textbook:Ian H. Witten and Eibe Frank, Data Mining Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann, (1999) Course Goal: The goal of this course is to introduce students to current machine learning and data mining methods. It is intended to provide enough background to allow students to apply machine learning and data mining techniques to learning problems in a variety of application areas. A course project with presentation and report is required. Project: for description, click here. Problem set: click here. Upcomming Conferences: Discovery Science 2002, Lubeck, Germany Nov. 24-26, 2002 MLDM 2003, Leipzig, German July 5-7, 2003 Schedule: Week Topic Meeting 1 Jan 26 Ch 1 Introduction, Apriori Algorithm Meeting 2 Feb 23 Ch2. Input: Concepts, Instances, Attributes, Pattern Recognition Meeting 3 Mar 23 Ch 3. Output: Knowledge Representation Decision Tree Learning Algorithm Meeting 4 Apr 20 Ch 5. Credibility: Evaluating What's Been Learned Student proposal presentation Meeting 5 May 11 Ch 6. Implementations: Real Machine Learning Schemes Student final presentation Evaluation: Project mid-reports(30%): No late submission accepted. Project Fianl Report and Presentation(50%): Review Report (20%): Course Policies will be added.