Track 1 - Research:

• Big Data Query Languages and Optimization

• Big Data Analytics and User Interfaces

• Big Data Indexing and Storing

• Big Data Analytics: algorithms, techniques, and systems

• Big Data Quality and Provenance Control

• Social Networking Data Graph Management

• Graph mining, analysis, and querying.

• Visualization Analytics for Big Data

• Big Data Searching and Discovery

• Big Data Management for Mobile Applications

• Scalability and Parallelization using Mapreduce and beyond

• Analytics for the Cloud Infrastructure

• Analytics for Unstructured, Semi-structured, and Structured Data

• Semantic for Big Data Intelligence

• Analytics for Temporal, Spatial, Spatio-temporal, and Mobile Data

• Analytics for Data Streams and Sensor Data

• Analytics for Big Multimedia Data

• Analytics for Social Networks

• Real-time/Right-time and Event-based Analytics

• Privacy and Security in Cloud Intelligence

• Reliability and Fault tolerance in Cloud Intelligence

• Big Data Application Design and Deployment

• Data Mining Techniques: Clustering, Classification, Association Rules, Decision Trees, etc.

• 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

• Cost Models for advanced applications and programming paradigms

• Reproduction of Big Data Experiments

• Big Data Data Mining Trends, Opportunities and Risks

• Big Data Mining from Low-quality Information Sources

Track 2 - Industry and Application:

• Big Data Analytics and Knowledge Discovery Tools

• Big Data Deployment Industrial Experiences

• Big Data Applications in Scientific, Government, Healthcare, Bioinformatics, Smart City, etc.

• Big Data Analytics Applications in E-commerce and Web Technology for Finance, Healthcare, Marketing, Telecommunications, etc.

• Big Data for Intrusion/Fraud Detection

• Big Data and Business Process Intelligence (BPI)

• Big Data in Enterprise Management Models and Practices