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 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