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SDM 2010 : Tenth SIAM International Conference on Data Mining


Conference Series : SIAM International Conference on Data Mining
When Apr 29, 2010 - May 1, 2010
Where Columbus, Ohio, USA
Submission Deadline Oct 9, 2009
Notification Due Dec 15, 2009
Final Version Due Jan 25, 2010
Categories    data mining

Call For Papers

Tenth SIAM International Conference on Data Mining (SDM2010)

April 29th - May 1st 2010
Columbus, Ohio, USA
Facebook Group:

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 are published in archival form, and are also made
available on the SIAM web site.


We invite submissions related to the design, analysis, and implementation
of data mining algorithms and systems. We would especially like to
encourage submissions that describe new application domains and
highlight the importance and benefits of employing data mining
techniques on these domains.

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


The conference will feature workshops, mini-symposiums, and tutorials
on several current topics related to the theme of the conference.
Proposals for workshops and tutorials are due on October 9th, 2009.


Manuscripts Due: October 9th, 2009
Proposals for Workshops and Tutorials Due: October 9th, 2009
Author Notification: December 15th, 2009
Camera Ready Papers: January 25th, 2010

All paper submissions will be handled electronically. Detailed
instructions are provided on the conference home page at
Submission website:


- Chandrika Kamath
Lawrence Livermore National Laboratory

- Srinivasan Parthasarathy
The Ohio State University
- Bing Liu
University of Illinois - Chicago

- Bart Goethals
University of Antwerp
- Jian Pei
Simon Fraser University

- Marina Meila
University of Washington
- Charu Aggarwal
IBM Research

- Jennifer Dy
Northeastern University

- Eamonn Keogh
University of California - Riverside

- Amol Ghoting
IBM Research

- Mikhail Belkin
The Ohio State University

- Hui Xiong
Rutgers University

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