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KDD 2003 Program
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Statistics
- 347 paper abstracts were submitted.
- 298 papers were submitted. 258 research track submissions reviewed by the Program Committe, and 40 industrial/government track submissions reviewed by the Industrial/Government Track Program Committee.
- For the research track, 34 were accepted for oral presentation and 36 were accepted for poster presentation.
- For the indust/gov track, 13 were accepted for oral presentation and 10 were accepted for poster presentation.
- 15 workshop proposals were submitted.
- 9 workshops will be presented at the conference..
- 13 tutorial proposals were submitted.
- 7 tutorials will be presented at the conference..
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Preliminary Program
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Sunday August 24
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9:00-18:00 (Concourse)
Registration
10:00-10:15 (International Ballroom - Center)
Opening Remarks
Ted Senator, General Chair
Pedro Domingos, Christos Faloutsos, Program Chairs
10:15-10:30 (International Ballroom - Center)
Award Presentations
Chairs: Mark Craven, Daryl Pregibon
10:30-11:30 (International Ballroom - Center)
Award Talk
Chair: Gregory Piatetsky-Shapiro
Innovation Award Talk by Heikki Mannila
11:30-12:30 (International Ballroom - Center)
KDD Cup Awards
Chairs: Johannes Gehrke, Paul Ginsparg, Jon Kleinberg
12:30-14:00
Lunch (on your own)
14:00-15:00 (International Ballroom - Center)
Joint KDD/ICML Invited Talk
Chair: Pedro Domingos
Statistical Learning from Relational Data
Daphne Koller, Stanford University
15:00-16:00 (International Ballroom - Center)
Joint KDD/ICML Session I
Chair: Pedro Domingos
BEST RESEARCH PAPER AWARD
Maximizing the Spread of Influence through a Social Network
David Kempe, Jon Kleinberg, Eva Tardos
Bayesian Network Anomaly Pattern Detection for Disease Outbreaks
Weng-Keen Wong, Andrew Moore, Gergory Cooper, Michael Wagner
15:00-18:30 (Georgetown Room)
Tutorial: The Top 10 Data Mining Mistakes-and How to Avoid Them
John F. Elder, Elder Research, USA
16:00-16:30
Coffee Break
16:30-18:30 (International Ballroom - Center)
Joint KDD/ICML Session II
Chair: Tom Fawcett
XRules: An Effective Structural Classifier for XML Data
Mohammed Zaki, Charu Aggarwal
Learning on the Test Data: Leveraging "Unseen" Features
Ben Taskar, Ming Fai Wong, Daphne Koller
Information-Theoretic Co-clustering
Inderjit Dhillon, Subramanyam Mallela, Dharmendra Modha
ICML BEST STUDENT PAPER AWARD
A Kernel between Sets of Vectors
Risi Kondor, Tony Jebara
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Monday August 25
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7:30-8:30
Continental Breakfast
8:00-18:00 (Concourse)
Registration
10:00-17:00 (Exhibit Hall)
Exhibits
8:30-9:30 (International Ballroom - Center)
Invited Talk
Chair: Christos Faloutsos
On-Line Science: The World-Wide Telescope as a Prototype for the New Computational Science
Jim Gray, Microsoft Research
9:30-10:00
Coffee Break
10:00-12:00 Research Track 1 (Monroe Room)
Clustering and Pattern Discovery
Chair: Gregory Piatetsky-Shapiro
Privacy-Preserving K-Means Clustering over Vertically Partitioned Data
Jaideep Vaidya, Chris Clifton
Assessment and Pruning of Hierarchical Model Based Clustering
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
Generative Model-Based Clustering of Directional Data
Arindam Banerjee, Inderjit Dhillon, Joydeep Ghosh, Suvrit Sra
An Iterative Hypothesis-Testing Strategy for Pattern Discovery
Richard Bolton, Niall Adams
10:00-12:00 Research Track 2 (Military Room)
Temporal Data
Chair: Sunita Sarawagi
Indexing Multi-Dimensional Time-Series with Support for Multiple Distance Measures
Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn Keogh
Translation-Invariant Mixture Models for Curve Clustering
Darya Chudova, Scott Gaffney, Eric Mjolsness, Padhraic Smyth
Generating English Summaries of Time Series Data Using the Gricean Maxims
Somayajulu Sripada, Ehud Reiter, Jim Hunter, Jin Yu
To Buy or Not to Buy: Mining Airline Fare Data to Minimize Ticket Purchase Price
Oren Etzioni, Craig Knoblock, Rattapoon Tuchinda, Alexander Yates
10:00-12:00 Industrial/Govt. Track (Georgetown Room)
IT
Chair: Michael Pazzani
Passenger-Based Predictive Modeling of Airline No-show Rates
Richard D. Lawrence, Se J. Hong, Jacques Cherrier
The Data Mining Approach to Automated Software Testing
Mark Last, Menahem Friedman, Abraham Kandel
Critical Event Prediction for Proactive Management in Large-scale Computer Clusters
R. K. Sahoo, A. J. Oliner, I. Rish, M. Gupta, J. E. Moreira, S. Ma
Information Awareness: A Prospective Technical Assessment
David Jensen, Matt Rattigan, and Hannah Blau
12:00-13:30 (International Ballroom - Center)
Lunch
13:30-15:00 Research Track 1 (Military Room)
Classification and Contrast Sets
Chair: Lorenza Saitta
Classifying Large Data Sets Using SVMs with Hierarchical Clusters
Hwanjo Yu, Jiong Yang, Jiawei Han
Cross-Training: Learning Probabilistic Mappings Between Topics
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godbole
On Detecting Differences Between Groups
Geoff Webb, Shane Butler, Douglas Newlands
13:30-15:00 Industrial/Govt. Track (Monroe Room)
Science
Chair: R. Bharat Rao
Capturing Best Practice for Microarray Gene Expression Data Analysis
Gregory Piatetsky-Shapiro, Tom Khabaza, Sridhar Ramaswamy
Frequent-Subsequence-Based Prediction of Outer Membrane Proteins
Rong She, Fei Chen, Ke Wang, Martin Ester, Jennifer L. Gardy, Fiona S. L. Brinkman
Discovery of Climate Indices using Clustering
Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Steven Klooster, Christopher Potter
13:30-17:00 (Georgetown Room)
Tutorial: Multi-Relational Data Mining
Luc DeRaedt, Albert-Ludwigs-University Freiburg, Germany
Saso Dzeroski, Jozef Stefan Institute, Slovenia
15:00-15:30
Coffee Break
15:30-17:00 (International Ballroom - Center)
Panel: Privacy and Data Mining: Friends or Foes?
Chair: Dr. Rakesh Agrawal, IBM Almaden Research Center
Panelists:
Prof. Christopher Clifton, Purdue University
Dr. Lawrence Cox, National Center for Health Statistics
Mr. James Dempsey, Center for Democracy & Technology
Mr. Daniel Gallington, Potomac Institute
Prof. Latanya Sweeney, Carnegie Mellon University
Dr. Bhavani Thuraisingham, National Science Foundation
Prof. Jeff Ullman, Stanford University
17:00-18:30 (International Ballroom - Center)
Poster Highlights
Chair: Usama Fayyad
18:30-20:30 (Exhibit Hall)
Poster Session and Reception
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Tuesday August 26
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7:30-8:30
Continental Breakfast
8:00-18:00 (Concourse)
Registration
10:00-17:00 (Exhibit Hall)
Exhibits
8:30-9:30 (International Ballroom - Center)
Invited Talk
Chair: Paul Bradley
Analyzing Customer Behavior at Amazon.com
Andreas Weigend, Chief Scientist, Amazon.com
9:30-10:00
Coffee Break
10:00-11:30 Research Track 1 (Monroe Room)
Relational and Graph Data
Chair: Ray Mooney
Aggregation-Based Feature Invention and Relational Concept Classes
Claudia Perlich, Foster Provost
Algorithms for Estimating Relative Importance in Networks
Scott White, Padhraic Smyth
CloseGraph: Mining Closed Frequent Graph Patterns
Xifeng Yan, Jiawei Han
10:00-11:30 Research Track 2 (Georgetown Room)
Data Streams and Sequential Data
Chair: Johannes Gehrke
Mining Concept-Drifting Data Streams using Ensemble Classifiers
Haixun Wang, Wei Fan, Philip Yu, Jiawei Han
Efficient Elastic Burst Detection in Data Streams
Yunyue Zhu, Dennis Shasha
Fragments of Order
Aristides Gionis, Teija Kujala, Heikki Mannila
10:00-11:30 Industrial/Govt. Track (Military Room)
Healthcare
Chair: Eric Bloedorn
Mining Hepatitis Data with Temporal Abstraction
Tu B. Ho, Trong Dung Nguyen, S. Kawasaki, S. Q. Le, H. Yokoi, K. Takabayashi
Clinical and Financial Outcomes Analysis with Existing Hospital Patient Records
R. Bharat Rao, Radu S. Niculescu, Colin Germond, Harsha Rao
BEST APPLICATION PAPER AWARD
Empirical Bayesian Data Mining for Discovering Patterns in Post-Marketing Drug Safety
David M. Fram, June S. Almenoff, William DuMouchel
11:45-13:45 (International Ballroom - Center)
SIGKDD Business Lunch
14:00-15:30 Research Track 1 (Monroe Room)
Web Mining and Data Cubes
Chair: Ronny Kohavi
Eliminating Noisy Information in Web Pages for Data Mining
Lan Yi, Bing Liu, Xiaoli Li
SEWeP: Using Site Semantics and a Taxonomy to Enhance the Web Personalization Process
Magdalini Eirinaki, Michalis Vazirgiannis, Iraklis Varlamis
Extracting Semantics from Data Cubes using Cube Transversals and Closures
Alain Casali, Rosine Cicchetti, Lotfi Lakhal
14:00-15:30 Research Track 2 (Georgetown Room)
Distance-Based Methods
Chair: Martin Ester
Towards Systematic Design of Distance Functions for Data Mining Applications
Charu Aggarwal
Mining Distance-Based Outliers in Near Linear Time with Randomization and a Simple Pruning Rule
Stephen Bay, Mark Schwabacher
Adaptive Duplicate Detection Using Learnable String Similarity Measures
Mikhail Bilenko, Raymond Mooney
14:00-15:30 Industrial/Govt. Track (Military Room)
Systems
Chair: Monte Hancock
Knowledge-Based Data Mining
Sholom M. Weiss, Stephen J. Buckley, Shubir Kapoor, Sřren Damgaard
The Anatomy of a Multimodal Information Filter
Yi-Leh Wu, King-Shy Goh, Beitao Li, Huaxing You, Edward Y. Chang
Golden Path Analyzer: Using Divide-and-Conquer to Cluster Web Clickstreams
Kamal Ali, Steven P. Ketchpel
15:30-16:00
Coffee Break
15:45-18:45 (Georgetown Room)
Tutorial: Information Extraction from the World Wide Web
William Cohen, Carnegie Mellon University
Andrew McCallum, University of Massachusetts, Amherst
16:00-18:30 Research Track 1 (Monroe Room)
Frequent Sets
Chair: Geoff Webb
Screening and Interpreting Multi-item Associations Based on Log-linear Modeling
Xintao Wu, Daniel Barbara, Yong Ye
Fast Vertical Mining Using Diffsets
Mohammed Zaki, Karam Gouda
CLOSET+: Searching for the Best Strategies for Mining Frequent Closed Itemsets
Jianyong Wang, Jiawei Han, Jian Pei
Inverted Matrix: Efficient Discovery of Frequent Items in Large Datasets in the Context of Interactive Mining
Mohammad El-Hajj, Osmar R. Zaiane
Mining Unexpected Rules by Pushing User Dynamics
Ke Wang, Yuelong Jiang, Laks Lakshmanan
16:00-17:30 Research Track 2 (International Ballroom - Center)
Data Reduction and Visualization
Chair: Mihael Ankerst
Efficient Data Reduction with EASE
Hervé Brönnimann, Bin Chen, Manoranjan Dash, Peter Haas, Peter Scheuermann
PROXIMUS: A Framework for Analyzing Very High Dimensional Discrete-Attributed Datasets
Mehmet Koyuturk, Ananth Grama
Visualizing Changes in the Structure of Data for Exploratory Feature Extraction
Elias Pampalk, Werner Goebl, Gerhard Widmer
17:30-18:30 (International Ballroom - Center)
Panel: Data Mining: The Next 10 Years
Chair: Dr. Usama Fayyad, President, DMX Group
Panelists:
Dr. Rakesh Agrawal, IBM Almaden Research
Dr. Gregory Piatetsky-Shapiro, KDnuggets
Dr. Daryl Pregibon, AT&T Research
Prof. Ragu Ramakrishnan, University of Wisconsin, Madison
Dr. Ramasamy Uthurusamy, General Motors
18:30-19:30 (Adams Room)
Transfer meeting - KDD 2003 and KDD 2004 organizing committees
19:30-22:00
Program committee dinner (by invitation only)
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Wednesday August 247 |
8:00-12:00 (Concourse)
Registration
8:30-17:00
Full Day Workshops:
BIOKDD03: Data Mining in Bioinformatics (Monroe East)
Data Cleaning, Record Linkage and Object Consolidation (Georgetown West)
Fractals and Self Similarity in Data Mining: Issues and Approaches (Map Room - terrace level)
Link Analysis (Georgetown East)
MDM/KDD 2003: Integrated Media Mining (Caucus Room - terrace level)
MRDM 2003: Multi-relational Data Mining (Monroe West)
Operational Text Classification (Hemisphere Room)
WebKDD2003: WebMining as a Premise to Intelligent and Effective Web Applications (Military Room)
8:30-12:00
Half Day Workshop:
Data Mining Standards, Services and Platforms (Conservatory - terrace level)
8:30-12:00
Tutorial: Data Mining for Computer Security (Lincoln West)
Carla Brodley, Purdue University
Philip Chan, MIT/FIT
Tutorial: Data Mining for Machine Learners (Thoroughbred Room)
Johannes Gehrke, Cornell University
Jiawei Han, University of Illinois at Urbana
12:00-13:30
Lunch (on your own)
13:30-17:00
Tutorial: Privacy-Preserving Data Mining (Lincoln West)
Chris Clifton, Purdue University
Tutorial: Sequence Data Mining Techniques and Applications (Thoroughbred Room)
Mark Craven, University of Wisconsin, Madison
Sunita Sarawagi, IIT Bombay
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