Steam-powered Turing Machine University of Washington Department of Computer Science & Engineering
 CSE 546 - Data Mining- Autumn 2001
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Instructor: pedrod at
Office: Sieg 216
Office hours: Mondays 3:30-4:30 and by appointment
TA: ghulten at
Office: Sieg 226a
Office hours: Thursdays from 12-1

Class meets:
Tuesdays and Thursdays 10:30-11:50 in Savery 153



Class evaluation will be by means of a project. Projects can be proposed by the students - for example, applying data mining techniques to your area of interest - or chosen from this list: Projects can be carried in groups of two or individually; we encourage working in groups. In addition to a written report, students will give a short oral presentation of their work.




Week 1: Chapter 1 of Hand and Behind-the-scenes data mining
Week 2: Chapter 3 of Mitchell
Week 3: Mining high-speed data streams [PDF]
Week 4: Chapter 10 of Mitchell; review first-order logic
Week 5: Chapter 8 of Mitchell
Week 6: Chapter 6 of Mitchell; review probability and statistics
Week 7: Chapter 4 of Mitchell; review calculus
Week 8: Section 2 of Machine-learning research: Four current directions
Week 9: Chapter 7 of Mitchell, A unified bias-variance decomposition, A tutorial on support vector machines, and Chapter 9 of Hand

Lecture Notes

Week 1: Introduction, inductive learning
Week 2: Decision trees
Week 3: Scaling up decision trees
Week 4: Rule induction
Week 5: Instance-based learning
Week 6: Bayesian learning
Week 7: Neural networks
Week 8: Model ensembles
Week 9: Learning theory and SVMs, clustering


UWML, the UW Data Mining Lab, is a set of tools that you may find useful for your project. UWML is a work in progress; if you're planning to use it, please contact ghulten at Pointers to various pieces of data mining software can be found at KDnuggets.

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CSE logo Department of Computer Science & Engineering
University of Washington
Box 352350
Seattle, WA  98195-2350
(206) 543-1695 voice, (206) 543-2969 FAX
[comments to Pedro Domingos]