Topics of interest include, but are not limited to, the following

Data Mining Foundations

• Parallel and Distributed Data Mining Algorithms
• Data Streams Mining, Graph Mining
• Spatial Data Mining, Text Video
• Multimedia Data Mining, Web Mining
• Pre-processing Techniques, Visualization
• Security and Information Hiding in Data Mining

Data Mining Applications

• Databases, Bioinformatics
• Biometrics
• Image Analysis
• Financial Modeling
• Forecasting, Classification
• Clustering
• Social Networks
• Educational Data Mining

Knowledge Processing

• Data and Knowledge Representation
• Knowledge Discovery Framework and Process
• Including Pre- and Post-processing
• Integration of Data Warehousing
• OLAP and Data Mining
• Integrating Constraints and Knowledge in the KDD Process
• Exploring Data Analysis, Inference of Causes
• Prediction, Evaluating
• Consolidating, and Explaining Discovered Knowledge
• Statistical Techniques for Generation a Robust
• Consistent Data Model
• Interactive Data Exploration/visualization and Discovery
• Languages and Interfaces for Data Mining
• Mining Trends
• Opportunities and Risks
• Mining from Low-Quality Information Sources