Data mining is an important tool in science, engineering, industrial processes,
healthcare, business, and medicine. The datasets in these fields are large, complex,
and often noisy. Extracting knowledge requires the use of sophisticated, highperformance
and principled analysis techniques and algorithms, based on sound
theoretical and statistical foundations. These techniques in turn require
implementations that are carefully tuned for performance; powerful visualization
technologies; interface systems that are usable by scientists, engineers, and physicians
as well as researchers; and infrastructures that support them.
This conference provides a venue for researchers who are addressing these
problems to present their work in a peer-reviewed forum. It also provides an ideal
setting for graduate students and others new to the field to learn about cutting-edge
research by hearing outstanding invited speakers and attending presentations and
tutorials (included with conference registration). A set of focused workshops are also
held on the last day of the conference. The proceedings of the conference are
published in archival form, and are also made available on the SIAM web site.

TOPICS OF INTEREST
Methods and Algorithms
• Classification
• Clustering
• Frequent Pattern Mining
• Probabilistic & Statistical Methods
• Spatial & Temporal Mining
• Data Stream Mining
• Abnormality & Outlier Detection
• Feature Selection/ Feature Extraction
• Dimension Reduction
• Data Reduction
• Mining with Constraints
• Data Cleaning & Noise Reduction
• Computational Learning Theory
• Multi-Task Learning
• Adaptive Algorithms
• Scalable & High-Performance Mining
• Mining Graphs
• Mining Semi structured Data
• Mining Complex Datasets
• Mining on Emerging Architectures
• Text & Web Mining
• Other Novel Methods
Applications
• Astronomy & Astrophysics
• High Energy Physics
• Collaborative Filtering
• Earth Science
• Risk Management
• Supply Chain Management
• Customer Relationship Management
• Finance
• Genomics & Bioinformatics
• Drug Discovery
• Healthcare Management
• Automation & Process Control
• Logistics Management
• Intrusion & Fraud detection
• Bio-surveillance
• Sensor Network Applications
• Social Network Analysis
• Intelligence Analysis
• Other Novel Applications & Case Studies
Human Factors and Social Issues
• Ethics of Data Mining
• Intellectual Ownership
• Privacy Models
• Privacy Preserving Data Mining & Data Publishing
• Risk Analysis
• User Interfaces
• Interestingness & Relevance
• Data & Result Visualization