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
• Explaining Discovered Knowledge
• Statistical Techniques for Generating 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