Introduction
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.
Call for paper
Important date
Submission Topics
Methods and Algorithms
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Classification
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Clustering
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Frequent Pattern Mining
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Probabilistic & Statistical Methods
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Graphical Models
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Spatial & Temporal Mining
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Data Stream Mining
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Anomaly & Outlier Detection
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Feature Extraction, Selection and Dimension Reduction
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Mining with Constraints
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Data Cleaning & Preprocessing
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Computational Learning Theory
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Multi-Task Learning
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Online Algorithms
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Big Data, Scalable & High-Performance Computing Techniques
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Mining with Data Clouds
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Mining Graphs
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Mining Semi Structured Data
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Mining Image Data
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Mining on Emerging Architectures
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Text & Web Mining
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Optimization Methods
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Other Novel Methods
Applications
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Astronomy & Astrophysics
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High Energy Physics
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Recommender Systems
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Climate / Ecological / Environmental Science
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Risk Management
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Supply Chain Management
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Customer Relationship Management
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Finance
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Genomics & Bioinformatics
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Drug Discovery
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Healthcare Management
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Automation & Process Control
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Logistics Management
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Intrusion & Fraud detection
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Bio-surveillance
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Sensor Network Applications
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Social Network Analysis
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Intelligence Analysis
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Other Novel Applications & Case Studies
Human Factors and Social Issues
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Ethics of Data Mining
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Intellectual Ownership
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Privacy Models
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Privacy Preserving Data Mining & Data Publishing
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Risk Analysis
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User Interfaces
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Interestingness & Relevance
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Data & Result Visualization
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Other Human Factors and Social Issues
All Comments
Important Date
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Conference Date
May 03
2018
toMay 05
2018
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Oct 06 2017
Abstract Submission Deadline
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Oct 13 2017
Draft paper submission deadline
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May 05 2018
Registration deadline
Contact Information
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