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SIAM International Conference on Data Mining

SDM 2019

Event Date: 2019-05-02 ~ 2019-05-04

Data Mining & Analysis Databases & Information Systems

SDM'19: THE NINETEENTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING
May 2 - May 4, 2019
Calgary, Canada
https://www.siam.org/conferences/CM/Main/sdm19
------------ CALL FOR CONTRIBUTIONS ------------
Abstract Submission: October 5, 2018, 11:59pm (US Pacific time)
Full Paper Submission: October 12, 2018, 11:59pm (US Pacific time)
Workshop Proposals: October 5, 2018, 11:59pm (US Pacific time)
Tutorial Proposals: October 5, 2018, 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 modern 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 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.
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
- 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
WORKSHOPS AND TUTORIALS
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The conference will feature workshops and tutorials on several special topics.
Please see the SDM 2019 website for submission requirements. Examples of
workshops and tutorials are available through the SDM 2018 website at
http://www.siam.org/meetings/sdm18/
FOLLOW SDM
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https://twitter.com/SIAMDataMining
Twitter hashtag:
#SIAMSDM19
ORGANIZATION
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GENERAL CO-CHAIRS
Tanya Berger-Wolf, University of Illinois at Chicago, USA
Nitesh Chawla, University of Notre Dame, USA
PROGRAM CO-CHAIRS
Jennifer Neville, Purdue University, USA
Xifeng Yan, University of California Santa Barbara, USA
WORKSHOPS CO-CHAIRS
Fosca Giannotti, National Research Council, Italy
Yizhou Sun, University of California Los Angeles, USA
TUTORIALS CHAIR
B. Aditya Prakash, Virginia Tech, USA
DOCTORAL FORUM CHAIR
Huzefa Rangwala, George Mason University, USA
Matteo Riondato, Two Sigma Investments, USA
PANELS CHAIR
Jilles Vreeken, Max Planck Institute for Informatics, Germany
PUBLICITY CO-CHAIRS
Vagelis Papalexakis, University of California Riverside, USA
Francois Petitjean, Monash University, Australia
Huan Sun, Ohio State University, USA
AWARDS CHAIR
Haesun Park, Georgia Tech University, USA
STEERING COMMITTEE CO-CHAIRS
Zoran Obradovic, Temple University, USA
Srinivasan Parthasarathy, Ohio State University, USA

Event Promotion

2024-06-02 ~ 2024-06-06

2024-08-19 ~ 2024-08-22

SIAM International Conference on Data Mining

Event Promotion

Journal Promotion