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