DIMACS Summer School Tutorial on New Frontiers in Data Mining

August 13 - 17, 2001
Rutgers University, Piscataway, NJ

Organizers:

Dimitrios Gunopulos, University of California at Riverside, dg@cs.ucr.edu

Nikolaos Koudas, AT&T Labs - Research, koudas@research.att.com

Summer School Program:

Monday, August 13, 2001

8:30 - 9:15     Breakfast and Registration

9:15 - 9:20     Welcome and Greeting:
                Fred S. Roberts, DIMACS Director

9:20 - 9:30     Welcome and Greeting: Tutorial Organizers
                Dimitrios Gunopulos, University of California at Riverside
                Nikolaos Koudas, AT&T Labs - Research

Day 1 Theme:    Introduction to Data Mining

9:30 - 11:00	Dimitrios Gunopulos, University of California at Riverside
		Nikolaos Koudas, AT&T Labs - Research
		Introduction to Data Mining I

                SLIDES: Data Mining Techniques

                SLIDES: Computing Association Rules

                SLIDES: Overview of Clustering Techniques 

11:00 - 11:15   Break

11:15 - 12:00   Continuation of Dimitrios Gunopulos/Nikolaos Koudas Tutorial

12:00 - 1:00	Lunch

1:00 - 2:00	Umesh Dayal, Hewlett Packard Labs
		SLIDES: Data Mining Meets E-Business: Opportunities and Challenges

2:00 - 3:00	Ramakrishman Srikant, IBM Almaden
		SLIDES: Privacy Preserving Data Mining

3:00 - 3:15     Break

3:15 - 4:15     Johannes Gehrke, Cornell University
                SLIDES: Decision Tree Construction

4:15 - 5:15	Discussion/Student Presentations/Panel


Tuesday, August 14, 2001

8:30 - 9:00     Breakfast

Day 2 Theme:    Algorithms and Techniques

9:00 - 10:40	Dimitrios Gunopulos, University of California at Riverside
		Nikolaos Koudas, AT&T Labs - Research
		Introduction to Data Mining II

                SLIDES: Finding Similar Time Series
 
                SLIDES: Dimensionality Reduction Techniques  

                SLIDES: Mining Sequential Patterns

10:40 - 11:00   Break

11:00 - 12:00   Continuation of Dimitrios Gunopulos/Nikolaos Koudas Tutorial

12:00 - 1:00	Lunch

1:00 - 2:00	Piotr Indyk, MIT
		SLIDES: Algorithms for Nearest Neighbor Search

2:00 - 3:00	Nickolaos Koudas, AT&T Labs - Research
                SLIDES: Applications of Sketch Based Techniques to Data Mining Problems

3:00 - 3:20     Break

3:20 - 4:00     Carlotta Domeniconi, University of California, Riverside
                SLIDES: An adaptive Metric Machine for Pattern Classification

4:00 - 5:00	Discussion/Student Presentations/Panel


Wednesday, August 15, 2001

8:30 - 9:00     Breakfast

Day 3 Theme: Networking

9:00 - 10:40	Sudipto Guha, AT&T
		SLIDES: Overview of Stream Algorithms

10:40 - 11:00   Break

11:00 - 12:00	Balachander Krishnamurthy, AT&T
		On Network Aware Clustering and its Applications

                SLIDES: On Network Aware Clustering and its Applications

12:00 - 1:00	Lunch

1:00 - 2:00	Matthias Grossglauser, AT&T
		Trajectory Sampling for Direct Traffic Observation

                SLIDES: Trajectory Sampling for Direct Traffic Observation


2:00 - 3:00     Pedro Domingos, University of Washington
                SLIDES: Mining Very Large Data Streams

3:00 - 3:15     Break

3:15 - 4:15	Munir Cochinwala and Chungmin Chen, Telcordia
		Data Quality Assurance in Telecommunications Databases

                SLIDES: Data Quality Assurance in Telecommunications Databases

4:15 - 5:15	Discussion/Student Presentations/Panel


Thursday, August 16, 2001

8:30 - 9:00     Breakfast

Day 4 Theme: Web

9:00 - 10:40	Soumen Chakrabarti, IIT Bombay
                Dimitrios Gunopulos, University of California at Riverside
		Nikolaos Koudas, AT&T Labs - Research
		SLIDES: Hypertext Data Mining: A Tutorial Survey

10:40 - 11:00   Break

11:00 - 12:00   Continuation of Soumen Chakrabarti/Dimitrios Gunopulos/
                Nikolaos Koudas Tutorial

12:00 - 1:00	Lunch

1:00 - 2:00	Prabhakar Raghavan, Verity Inc.
		Social Networks from Web Mining to Enterprise Portals

                SLIDES: Mining Social Networks for Knowledge Management

2:00 - 3:00	Sridhar Ragajopalan, IBM Almaden
		Graph Algorithms for Data Mining on the Web

3:00 - 3:15     Break

3:15 - 4:15	Rajeev Rastogi, Lucent Technologies
		SLIDES: Data Mining Meets the Internet: Techniques for Web Information Retrieval

4:15 - 5:15	Discussion/Student Presentations/Panel

                Panagiotis Ipeirotis, Columbia University
                SLIDES: Probe, Count and Classify: Categorizing Hidden Web Databases


Friday, August 17, 2001

8:30 - 9:00     Breakfast

Day 5 Theme: Bio

9:00 - 9:40	Dimitrios Gunopulos, University of California at Riverside
		Nikolaos Koudas, AT&T Labs - Research
		Introduction to Data Mining IV

9:40 - 10:40	Isidoros Rigoutsos, IBM Watson
		SLIDES: Pattern Discovery In Computational Biology

                PAPER: The Emergence of Pattern Discovery Techniques In Computational Biology

10:40 - 11:00   Break

11:00 - 12:00	Rahul Singh, Exelixis
		An Overview of Computational Knowledge Discovery and Pattern Analysis
                Problems in Contemporary Drug Discovery and Design

12:00 - 1:00	Lunch

1:00 - 2:00	Dennis Shasha, New York University
		SLIDES: Activist data mining (as applied to Carbon: Nitrogen Sensing Plants)

2:00 - 3:00	Igor Jurisica, University of Toronto Health Network 
                and Ontario Cancer Institute
		SLIDES: Overview of Avoiding paralysis of analysis: Building
                an intellectual prosthesis

3:00 - 3:15     Break

3:15 - 4:15	Discussion/Student Presentations/Panel

Next: Registration

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