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

• 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

• Databases

• Bioinformatics

• Biometrics

• Image Analysis

• Financial Modeling

• Forecasting, Classification, Clustering

• Social Networks, Educational Data Mining

• 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

• Machine Learning Applications

• Learning in knowledge-intensive systems

• Learning Problems

• Deep Learning

• Big Data Algorithms

• Big Data Fundamentals

• Infrastructures for Big Data

• Big Data Management and Frameworks

• Big Data Search

• Big Data security

• Big Data Applications

Speakers