Steam-powered Turing Machine University of Washington Department of Computer Science & Engineering
 CSE 546 - Data Mining - Autumn 2003
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Instructor: pedrod at
Office: Allen 648
Office hours: Wednesdays 2:00-2:50 and by appointment
TA: mattr at
Office: Allen 220
Office hours: Mondays 4:30-5:20 and by appointment

Class meets:
Mondays and Wednesdays from 3:00 to 4:20 in MEB 242


Week 1: Chapter 1 of Hand and Behind-the-scenes data mining
Week 2: Chapter 3 of Mitchell
Week 3: Chapter 10 of Mitchell; review first-order logic
Week 4: Mining high-speed data streams, Mining complex models from arbitrarily large databases in constant time
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
Week 10: Chapter 9 of Hand

Lecture Notes

Week 1: Introduction, inductive learning
Week 2: Decision trees
Week 3: Rule induction
Week 4: Scalability
Week 5: Instance-based learning
Week 6: Bayesian learning
Week 7: Neural networks
Week 8: Model ensembles
Week 9: Learning theory and SVMs
Week 10: Clustering


The topics covered will have a non-null intersection with the following list:


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 out 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.

Schedule of project presentations




VFML is a set of tools developed at UW that you may find useful for your project. VFML is still in beta; 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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University of Washington
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Seattle, WA  98195-2350
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[comments to Pedro Domingos]