Call for Paper: SIAM International Conference on Data Mining 2023, Minneapolis, MN
Ping Zhang
Abstract Submission: September 30, 2022, 11:59pm (US Pacific time)
Detailed submission information will be posted on the website in late August.
SDM'23: THE 23nd SIAM INTERNATIONAL CONFERENCE ON DATA MINING
April 27 -- April 39, 2023
Minneapolis, Minnesota
https://www.siam.org/conferences/cm/conference/sdm23
------------ CALL FOR CONTRIBUTIONS ------------
Abstract Submission: September 30, 2022, 11:59pm (US Pacific time)
Full Paper Submission: October 7, 2022, 11:59pm (US Pacific time)
Workshop Proposals: October 14, 2022, 11:59pm (US Pacific time)
Tutorial Proposals: October 14, 2022, 11:59pm (US Pacific time)
DESCRIPTION
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Data mining is the computational process for discovering valuable knowledge from data – the core of Data Science. 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, data scientists and application developers from different disciplines, as well as usable by stakeholders.
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 to network and get feedback for their work (as part of the doctoral forum) and everyone 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.
TOPICS OF INTEREST
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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
- 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
- Pattern Mining
- 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
WORKSHOPS AND TUTORIALS
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The conference will feature workshops and tutorials on several special topics. Please see the SDM 2023 website for submission requirements. Examples of workshops and tutorials are available through the SDM 2022 website at https://www.siam.org/conferences/cm/conference/sdm22
FOLLOW SDM
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https://twitter.com/SIAMDataMining
Twitter hashtag:
#SIAMSDM23
ORGANIZATION
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GENERAL CO-CHAIRS
Zhi-Hua Zhou
Nanjing University, China
Shashi Shekhar
University of Minnesota, USA
PROGRAM CO-CHAIRS
Yao-Yi Chiang
University of Minnesota, USA
Gregor Štiglic
University of Maribor, Slovenia
WORKSHOPS CO-CHAIRS
Ping Zhang
The Ohio State University, USA
Jelena Gligorijevic
Yahoo Research, USA
TUTORIALS CO-CHAIRS
Han-Jia Ye
Nanjing University, China
Sheng Li
University of Virginia, USA
DOCTORAL FORUM CO-CHAIRS
Miao Xu
Queensland University, Australia
Liyue Fan
University of North Carolina Charlotte, USA
PANEL CHAIR
Jaideep Srivastava
University of Minnesota, USA
PUBLICITY CO-CHAIRS
Zhe Jiang
University of Florida, USA
Yao-Xiang Ding
Zhejiang University, China
Arianna Dagliati
University of Pavia, Italy
AWARDS CHAIR
Hanghang Tong
Univ. Illinois Urbana Champaign, USA
PROCEEDINGS CO-CHAIRS
Jina Kim
University of Minnesota, USA
Primoz Kocbek
University of Maribor, Slovenia
STEERING COMMITTEE CHAIR
Zoran Obradovic
Temple University, USA