CSE 546 - Data Mining

University of Washington Department of Computer Science & Engineering

CSE 546 - Data Mining - Spring 2008
Mon, Wed 12:00-1:20 in EEB 042

CSE Home

About Us

Contact Info

Instructor: Pedro Domingos (pedrod at cs)
Office hours: Wednesdays 3:30-4:20 & by appointment
Office: Allen Center 648 TA: Hoifung Poon (hoifung at cs)
Office hours: Mondays 1:30-2:20 & by appointment
Office: Allen Center 220

Schedule

Week	Dates	Topics & Lecture Notes	Readings
1	March 31, April 2	Introduction (ppt, pdf), inductive learning (ppt, pdf)	Mitchell, Ch. 1; Duda, Ch. 1
2	April 7, 9	Decision trees (ppt, pdf)	Mitchell, Ch. 3; Duda, Ch. 8
3	April 14, 16	Rule induction (ppt, pdf)	Mitchell, Ch. 10; Duda, Ch. 8
4	April 21, 23	Instance-based learning (ppt, pdf)	Mitchell, Ch. 8; Duda, Ch. 4
5	April 28, 30	Bayesian learning (ppt, pdf)	Mitchell, Ch. 6; Duda, Ch. 2 & 3
6	May 5, 7	Neural networks (ppt, pdf)	Mitchell, Ch. 4; Duda, Ch. 6
7	May 12, 14	Model ensembles (ppt, pdf)	Duda, Ch. 9
8	May 19, 21	Learning theory (ppt, pdf)	Mitchell, Ch. 7; Duda, Ch. 9
9	May 26, 28	Support vector machines (ppt, pdf)	Duda, Ch. 5
10	June 2, 4	Clustering and dimensionality reduction (ppt, pdf)	Duda, Ch. 10

Textbooks

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

Assignments

There will be four assignments, each worth 15% of the final grade, and a final exam worth 40% of the grade.

Assignment 1, Decision-Tree Learning for Drug Design, due April 21.
Assignment 2, Rule Induction and Instance-based Learning, due May 5.
Assignment 3, Bayesian Learning and Neural Networks, due May 19.
Assignment 4, Model Ensembles, Learning Theory, and SVMs, due June 2.
Final, 8:30-10:20 a.m. Thursday, June 12, 2008, at EEB 042 (same as the lecture room).

Course Administration and Policies

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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