CSEP 546 - Data Mining

University of Washington Department of Computer Science & Engineering

CSEP 546 - Data Mining - Spring 2012
Thursdays 6:30-9:20pm in Allen Center rm. 305 and MS Bldg. 99 rm. 1915 (simulcast)

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About Us

Contact Info

Instructor: Pedro Domingos (pedrod at cs)
Office hours:Thursdays 5:30-6:20pm & by appointment
Office: Allen Center 648 TA: Robert Gens (rcg at cs)
Office hours:Thursdays 5:30-6:20pm & by appointment
Office: Allen Center 216

Schedule

Week	Dates	Topics & Lecture Notes	Readings
1	March 29	Introduction (ppt, pdf), inductive learning (ppt, pdf)	Mitchell, Ch. 1; Duda, Ch. 1
2	April 5	Decision trees (ppt, pdf)	Mitchell, Ch. 3; Duda, Ch. 8
3	April 12	Rule induction (ppt, pdf)	Mitchell, Ch. 10; Duda, Ch. 8
4	April 19	Instance-based learning (ppt, pdf)	Mitchell, Ch. 8; Duda, Ch. 4
5	April 26	Bayesian learning (ppt, pdf)	Mitchell, Ch. 6; Duda, Ch. 2 & 3
6	May 3	Neural networks (ppt, pdf)	Mitchell, Ch. 4; Duda, Ch. 6
7	May 10	Model ensembles (ppt, pdf)	Duda, Ch. 9
8	May 17	Learning theory (ppt, pdf)	Mitchell, Ch. 7; Duda, Ch. 9
9	May 24	Support vector machines (ppt, pdf)	Duda, Ch. 5
10	May 31	Clustering and dimensionality reduction (ppt, pdf)	Duda, Ch. 10

Video Archives and Live Streamed Lectures

Textbooks

R. Duda, P. Hart & D. Stork, Pattern Classification (2nd ed.), Wiley, 2001 (required).
Tom Mitchell, Machine Learning, McGraw-Hill, 1997 (required).

Assignments

There will be four assignments handed out on weeks 2, 4, 6, and 8; they are due two weeks later. Each assignment is worth 25% of the final grade. Submit online here.

Assignment 1: Clickstream Mining with Decision Trees, Rule Induction. Due April 19, 2012 at 6:30pm.
Assignment 2: Collaborative Filtering and Bayes Nets. Due May 3, 2012 at 6:30pm.
Assignment 3: Naive Bayes, Neural Nets, Ensemble Methods. Due May 17, 2012 at 6:30pm.
Assignment 4: Learning Theory and SVMs. Due May 31, 2012 at 6:30pm.

Course Administration and Policies

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Discuss course material on the forum.
Assignments will be done individually unless otherwise specified. You may discuss the subject matter with other students in the class, but all final answers must be your own work. You are expected to maintain the utmost level of academic integrity in the course.
Assignments may be handed in up to a week late, at a penalty of 10% of the maximum grade per day.
Comments can be sent to the instructor or TA using this anonymous feedback form

Department of Computer Science & Engineering
University of Washington
Box 352350
Seattle, WA 98195-2350
(206) 543-1695 voice, (206) 543-2969 FAX