SDM: SIAM International Conference on Data Mining

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2018 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
SDM 2017 SDM'17: the Seventeenth SIAM International Conference on Data Mining
Apr 27, 2017 - Apr 29, 2017 Houston, Texas, USA Oct 15, 2016 (Oct 8, 2016)
SDM 2016 THE SIXTEENTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING
May 5, 2016 - May 7, 2015 Miami, FL Oct 16, 2015 (Oct 9, 2015)
SDM 2015 THE FIFTEENTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING
Apr 30, 2015 - May 2, 2015 Vancouver, British Columbia, Canada Oct 12, 2014 (Oct 5, 2014)
SDM 2014 SIAM International Conference on Data Mining
Apr 24, 2014 - Apr 26, 2014 Philadelphia, Pennsylvania, USA Oct 13, 2013 (Oct 6, 2013)
SDM 2013 SIAM International Conference on Data Mining
May 2, 2013 - May 4, 2013 Austin, Texas Oct 15, 2012
SDM 2012 Twelfth SIAM International Conference on Data Mining
Apr 26, 2012 - Apr 28, 2012 Anaheim, California, USA Oct 16, 2011
SDM 2011 2011 SIAM International Conference on Data Mining
Apr 28, 2011 - Apr 30, 2011 Mesa, Arizona, USA Oct 15, 2010
SDM 2010 Tenth SIAM International Conference on Data Mining
Apr 29, 2010 - May 1, 2010 Columbus, Ohio, USA Oct 9, 2009
SDM 2009 The Ninth SIAM International Conference on Data Mining
Apr 30, 2009 - May 2, 2009 Sparks, NV, USA Oct 10, 2008 (Oct 3, 2008)
SDM 2008 SIAM International Conference on Data Mining
Apr 24, 2008 - Apr 26, 2008 Atlanta, USA Oct 5, 2007
 
 

Present CFP : 2017

SDM'17: THE SEVENTEENTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING

April 27 - April 29, 2017
The Westin Galleria Houston
Houston, Texas, USA
www.siam.org/meetings/sdm17/

------------ CALL FOR CONTRIBUTIONS ------------

Abstract Submission: October 8, 2016, 11:59pm (PDT)
Full Paper Submission: October 15, 2016, 11:59pm (PDT)
Workshop Proposals: October 8, 2016, 11:59pm (PDT)
Tutorial Proposals: October 8, 2016, 11:59pm (PDT)

FOLLOW SDM
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https://twitter.com/SIAMDataMining
https://www.facebook.com/events/475483799321188/


DESCRIPTION
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Data mining is the computational process for discovering valuable knowledge from data. It has enormous application in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. Extracting knowledge from these datasets requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms, which are based on sound theoretical and statistical foundations. These techniques in turn require implementations on high performance computational infrastructure that are carefully tuned for performance. Powerful visualization technologies along with effective user interfaces are also essential to make data mining tools appealing to researchers, analysts, and application developers from different disciplines.

The SDM 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 is 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.


THEMES AND TOPICS OF INTEREST
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Methods and Algorithms
• Classification
• Clustering
• Frequent Pattern Mining
• Probabilistic & Statistical Methods
• Graphical Models
• Spatial & Temporal Mining
• Data Stream Mining
• Anomaly & Outlier Detection
• Feature Extraction, Selection and Dimension Reduction
• Mining with Constraints
• Data Cleaning & Preprocessing
• Computational Learning Theory
• Multi-Task Learning
• Online Algorithms
• Big Data, Scalable & High-Performance Computing Techniques
• Mining with Data Clouds
• Mining Graphs
• Mining Semi-Structured Data
• Mining Complex Datasets
• Mining on Emerging Architectures
• Text & Web Mining
• Optimization Methods
• Other Novel Methods

Applications
• Astronomy & Astrophysics
• High Energy Physics
• Collaborative Filtering
• Recommender Systems
• Climate / Ecological / Environmental 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
• Educational Data Mining
• 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
• Other Human Factors and Social Issues


WORKSHOPS AND TUTORIALS
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The conference will feature workshops and tutorials on several special topics. Please see the SDM 2017 website for submission requirements. Examples of workshops and tutorials are available through the SDM 2016 website, http://www.siam.org/meetings/sdm16/


ORGANIZING COMMITTEE
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STEERING COMMITTEE CHAIR
Srinivasan Parthasarathy, Ohio State University, USA

CONFERENCE CO-CHAIRS
Carlotta Domeniconi, George Mason University, USA
Dimitrios Gunopulos, University of Athens, Greece

PROGRAM CO-CHAIRS
Nitesh Chawla, University of Notre Dame, USA
Wei Wang, University of California, Los Angeles, USA

WORKSHOP CO-CHAIRS
Leman Akoglu, Stony Brook University, The State University of New York, USA
Arthur Zimek, University of Southern Denmark, Denmark

TUTORIAL CHAIR
Jilles Vreeken, Saarland University and Max Planck Institute for Informatics, Germany

DOCTORAL FORUM CHAIR
Shuiwang Ji, Washington State University, USA

PUBLICITY CO-CHAIRS
Danai Koutra, University of Michigan, USA
Matthijs van Leeuwen, Leiden University, the Netherlands
Panagiotis Papapetrou, Stockholm University, Sweden

PANEL CHAIR
Chris Jermaine, Rice University, USA

SPONSORSHIP CO-CHAIRS
James Faghmous, Icahn School of Medicine, Mount Sinai, USA
Jiliang Tang, Yahoo Research, USA

AWARDS CHAIR
Zoran Obradovic, Temple University, USA

 

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