SDM: SIAM International Conference on Data Mining

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2021 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
SDM 2020 SIAM International Conference on Data Mining
May 7, 2020 - May 9, 2020 Cincinnati, Ohio, USA Oct 11, 2019 (Oct 4, 2019)
SDM 2018 CFP SDM'18: SIAM International Conference on Data Mining
May 3, 2018 - May 5, 2018 San Diego, USA Oct 13, 2017 (Oct 6, 2017)
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 : 2020

Sponsored by the SIAM Activity Group on Data Mining and Analytics.
This conference is held in cooperation with the American Statistical Association.

This meeting is co-located with the SIAM Conference on Mathematics of Data Science (MDS20), May 5-7, 2020.

Data mining is the computational process for discovering valuable knowledge from data – the core of modern Data Science. It has enormous applications 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. 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, data scientists and application developers from different disciplines, as well as usable by stakeholders.

SDM has established itself as a leading conference in the field of data mining and provides a venue for researchers who are addressing these problems to present their work in a peer-reviewed forum. SDM emphasizes principled methods with solid mathematical foundation, is known for its high-quality and high-impact technical papers, and offers a strong workshop and tutorial program (which are included in the conference registration). The proceedings of the conference are published in archival form, and are also made available on the SIAM web site.

Included Themes

Methods and Algorithms

* Anomaly & Outlier Detection
* Big Data & Large-Scale Systems
* Classification & Semi-Supervised Learning
* Clustering & Unsupervised Learning
* Data Cleaning & Integration
* Deep Learning & Representation Learning
* Frequent Pattern Mining
* Feature Extraction, Selection and Dimensionality Reduction
* Mining Data Streams
* Mining Graphs & Complex Data
* Mining on Emerging Architectures & Data Clouds
* Mining Semi Structured Data
* Mining Spatial & Temporal Data
* Mining Text, Web & Social Media
* Online Algorithms
* Optimization Methods
* Parallel and Distributed Methods
* Probabilistic & Statistical Methods
* Scalable & High-Performance Mining
* Other Novel Methods

Applications

* Astronomy & Astrophysics
* Automation & Process Control
* Climate / Ecological / Environmental Science
* Customer Relationship Management
* Data Science
* Drug Discovery
* Finance
* Genomics & Bioinformatics
* Healthcare Management
* High Energy Physics
* Intelligence Analysis
* Internet of Things
* Intrusion & Fraud detection
* Logistics Management
* Recommendation
* Risk Management
* Social Network Analysis
* Supply Chain Management
* Other Emerging Applications

Human Factors and Social Issues

* Ethics of Data Mining
* Intellectual Ownership
* Interestingness & Relevance
* Privacy and Fairness Models
* Privacy Preserving Data Mining
* Risk Analysis and Risk Management
* Transparency and Algorithmic Bias
* User Interfaces and Visual Analytics
* Other Human and Social Issues


 

Related Resources

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CISDM 2020   2020 2nd European Conference on Information System and Data Mining (CISDM 2020)
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