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

• Data mining foundations

• Data Streams Mining

• Graph Mining

• Multimedia Data Mining

• Parallel and Distributed Data Mining Algorithms

• Pre-Processing Techniques

• Security and Information Hiding in Data Mining

• Spatial Data Mining

• Text video

• Visualization

• Web Mining

• Data mining Applications

• Bioinformatics

• Biometrics

• Classification

• Clustering

• Databases

• Educational Data Mining

• Financial Modeling

• Forecasting

• Image Analysis

• Social Networks

• Knowledge Processing

• Consistent Data Model

• Consolidating and Explaining Discovered Knowledge

• Data and Knowledge Representation

• Evaluating

• Exploring Data Analysis

• Including Pre- and Post-Processing

• Inference of Causes

• Integrating Constraints and Knowledge in the KDD Process

• Integration of Data Warehousing

• Interactive Data Exploration/Visualization and Discovery

• Knowledge Discovery Framework and Process

• Languages and Interfaces for Data Mining

• Mining from Low-Quality Information Sources

• Mining Trends, Opportunities and Risks

• OLAP and Data Mining

• Prediction

• Statistical Techniques for Generation a Robust

• Machine learning

• Deep Learning

• Learning in knowledge-intensive systems

• Learning Methods and analysis

• Learning Problems

• Machine Learning Applications