SIAM International Conference on Data Mining (SDM'08)

Autor: Krzysztof Hübner <hubner_at_iod.krakow.pl>
Data: Fri 22 Jun 2007 - 08:12:22 MET DST
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CFP: SIAM International Conference on Data Mining (SDM'08)

Apologies for cross-posting.

==================================================================
Call for Papers

SDM'08: 2008 SIAM International Conference on Data Mining

Sponsored by Society for Industrial and Applied Mathematics (SIAM)

Atlanta, Georgia, USA
April 24-26, 2008.

==================================================================

Important Dates:

   Abstract Due: October 5, 2007
   Paper Due: October 12, 2007 11:59:59 PM, Pacific Standard Time
   Author Notification: December 21, 2007
   Camera Ready: January 25, 2008

==================================================================

Data mining and knowledge discovery is rapidly becoming an
important tool in all walks of human endeavor including
science, engineering, industrial processes, healthcare,
business, medicine and society. 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 powerful visualization technologies;
implementations that must be carefully tuned for performance;
software 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 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
====================

For the main conference the program committee seeks
outstanding papers in all areas pertaining to data mining and
knowledge discovery. The topics of interest include, but are
not limited to the following areas:

----------------------
Methods and Algorithms
----------------------
Classification
Clustering
Frequent Pattern Mining
Probabilistic and Statistical Methods
Spatial and Temporal Mining
Data Stream Mining
Abnormality and Outlier Detection
Feature Selection / Feature Extraction
Dimension Reduction
Data Reduction
Mining with Constraints
Data Cleaning and Noise Reduction
Computational Learning Theory
Multi-Task Learning
Adaptive Algorithms
Scalable and High-Performance Mining
Mining Graphs
Mining Semistructured Data
Mining Complex Datasets
Mining on Emerging Architectures
Text and Web Mining

-------------
Applications
-------------
Astronomy & Astrophysics
High Energy Physics
Collaborative Filtering
Earth Science
Risk Management
Supply Chain Management
Customer Relationship Management
Finance
Genomics and Bioinformatics
Drug Discovery
Healthcare Management
Automation & Process Control
Logistics Management
Intrusion and Fraud detection
Intelligence Analysis
Biosurveillance
Sensor Network Applications
Social Network Analysis
Application Case Studies
Other Novel Applications

-------------------------------
Human Factors and Social Issues
-------------------------------
Ethics of Data Mining
Intellectual Ownership
Privacy Models
Privacy Preserving Data Mining and Data Publishing
Risk Analysis
User Interfaces
Interestingness and Relevance
Data and Result Visualization

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

=====================
Organizing Committee
=====================

STEERING COMMITTEE CO-CHAIRS
  Chandrika Kamath, Lawrence Livermore National Laboratory
  Vipin Kumar, University of Minnesota

CONFERENCE CO-CHAIRS
  Chid Apte, IBM Research
  Haesun Park, Georgia Institute of Technology

PROGRAM CO-CHAIRS
  Mohammed Zaki, Rensselaer Polytechnic Institute
  Ke Wang, Simon Fraser University

TUTORIAL CHAIR
  Ian Davidson, SUNY Albany

WORKSHOP CO-CHAIRS
  Huan Liu, Arizona State University

PUBLICITY CO-CHAIRS
  Pang-Ning Tan, Michigan State University

SPONSORSHIP CO-CHAIRS
  Jaideep Srivastava, University of Minnesota
  Hillol Kargupta, University of Maryland, Baltimore County

LOCAL ARRANGEMENTS CO-CHAIRS
  Hongyuan Zha, Georgia Institute of Technology
  Roy George, Clark Atlanta University

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Received on Fri Jun 22 08:08:37 2007

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