Topics of Interest

Topics of interest include but are not limited to:

Novel Methods and Algorithms

Classification
Clustering
Frequent Pattern Mining
Probabilistic and Statistical Methods
Spatial and Temporal Mining
Data Streams and Incremental Mining
Abnormality and Outlier Detection
Feature Selection
Mining with Constraints
Data Cleaning and Noise Reduction
Computational Learning Theory
Scalable and High-Performance Mining
Link and Relational Data Analysis
Mining Semi-structured Data
Mining Graphs and Complex Data
Mining on Emerging Architectures
Text Mining
Web Mining

Applications

Astronomy & Astrophysics
High Energy Physics
Collaborative Filtering
Earth Science
Risk Management
Supply Chain Management
Customer Relationship Management
Finance
Genomics and Bioinformatics
Drug Discovery
Healthcare Management
Automation & Process Control
Logistics Management
Intrusion and Fraud detection
Intelligence Analysis
Sensor Network Applications
Social Network Analysis
Application Case Studies
Other Novel Applications

Human Factors and Social Issues

Ethics of Data Mining
Intellectual Ownership
Privacy Models
Privacy Preservation Techniques
Risk Analysis
User Interfaces
Interestingness and Relevance
Data and Result Visualization

 

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