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SDM 2013 - SIAM International Conference on Data Mining (SDM13)

Date2013-05-02 - 2013-05-04


VenueTexas, USA - United States USA - United States



Topics/Call fo Papers

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, high performance 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 arepublished in archival form, and are also made available on the SIAM web site.
Funding Agency
SIAM and the Conference Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation for its support of this conference.
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
? 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

Last modified: 2012-08-23 22:58:09