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.
Themes
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
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
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
