• Big Data Algorithms
• Big Data Applications
• Big Data Fundamentals
• Big Data Management and Frameworks
• Big Data Search
• Big Data security
• Bioinformatics
• Bio-Metrics
• Consistent Data Model
• Data and Knowledge Representation
• Data Streams Mining, Graph Mining, Spatial Data Mining
• Databases
• Deep Learning
• Exploring Data Analysis
• Financial Modeling
• Forecasting, Classification, Clustering
• Image Analysis
• Inference of Causes, Prediction, Evaluating, Consolidating and Explaining Discovered Knowledge
• Infrastructures for Big Data
• Integrating Constraints and Knowledge in the KDD Process
• Integration of Data Warehousing
• Interactive Data Exploration / Visualization and Discovery
• Knowledge Discovery Framework and Process, Including Pre- and Post-Processing
• Languages and Interfaces for Data Mining
• Learning in knowledge-intensive systems
• Learning Problems
• Machine Learning Applications
• Mining from Low-Quality Information Sources
• Mining Trends, Opportunities and Risks
• OLAP and Data Mining
• Parallel and Distributed Data Mining Algorithms
• Pre-Processing Techniques, Visualization
• Security and Information Hiding in Data Mining
• Social Networks, Educational Data Mining
• Statistical Techniques for Generation a Robust
• Text video, Multimedia Data Mining, Web Mining

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.