Presentations

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Date	Speaker	Title
1. Introduction and Overview
08 Sep (Tue)	Ramesh	Data Mining and Database Systems: Where is the Intersection
08 Sep (Tue)	Chad	Comprehensible Knowledge Discovery: Gaining Insight from Data
2. Data Warehousing and OLAP
15 Sep (Tue)	Amanda	OLAP Mining: An Integration of OLAP with Data Mining
3. Data Reduction, Feature Selection/Extraction and Clustering
15 Sep (Tue)	Nena	Wrappers for feature subset selection
24 Sep (Thu)	Jianlan	Hypergraph Based Clustering in High-Diminsional Data Sets: A Summary of Results
24 Sep (Thu)	Amal	Clustering Data Without Distance Functions
24 Sep (Thu)	Amal	Minimum Cut Algorithm
4. Association Rules
29 Sep (Tue)	Anita	Finding interesting rules from large sets of discovered association rules
29 Sep (Tue)	Maha	Pruning and grouping discovered association rules
5. Graphical Models for Discovering Knowledge
1 Oct (Thu)	Chase	Graphical Models for Discovering Knowledge (Chap 3 of Text)
15 Oct (Thu)	Michael	Embedded Bayesian Network Classifiers
6. Classification
15 Oct (Thu)	Haihong	Applying classification algorithms in practice
20 Oct (Tue)	Shailesh	Decision Trees
20 Oct (Tue)	Shailesh	Rule-based machine learning methods for functional prediction
20 Oct (Tue)	Rubeena	Generalization and Decision Tree Induction: Efficient Classification in Data Mining
20 Oct (Tue)	Natalia	An Interval Classifier for Database Mining Applications
27 Oct (Tue)	Qian	SLIQ: A Fast Scalable Classifier for Data Mining
7. Mining of Sequential Patterns and Time Series
5 Nov (Thu)	James	Similarity of Event Sequences (revised version)
5 Nov (Thu)	Thomas	Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases
5 Nov (Thu)	Qasim	Mining Temporal Relationships with Multiple Granularities in Time Sequences
8. Computational Aspects
10 Nov (Tue)	Gunjan	Active Data Mining
10 Nov (Tue)	Heather	The power of sampling in knowledge discovery
10 Nov (Tue)	Rama	Static versus dynamic sampling for data mining
9. Visualization/Integration
12 Nov (Thu)	Jerry	What Makes Patterns Interesting in Knowledge Discovery Systems
12 Nov (Thu)	Alexander	Visualization Techniques for Mining Large Databases: A Comparison
10. Miscellaneous
12 Nov (Thu)	Thomas	Dealing with Semantic Heterogeneity by Generalization-Based Data Mining Techniques