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

Big Data

Big Data Algorithms

Big Data Fundamentals

Infrastructures for Big Data

Big Data Management and Frameworks

Big Data Search

Big Data security

Big Data Applications

Data Mining & Machine learning Tasks

Machine Learning Applications

Learning in knowledge-intensive systems

Learning Methods and analysis

Learning Problems

Deep Learning

CONFERENCE PROCEEDINGS