2017 IEEE International Congress on Big Data (BigData Congress)

Big Data Models and Algorithms

• Foundational Models for Big Data

• Algorithms and Programming Techniques for Big Data Processing

• Big Data Analytics and Metrics

Big Data Architectures

• Cloud Computing Techniques for Big Data

• Big Data as a Service

• Big Data Open Platforms

Big Data Management

• Big Data Persistence and Preservation

• Big Data Quality and Provenance Control

• Big Data Storage and Retrieval

Big Data Security and Privacy

• Big Data System Security and Integrity

• Big Data Information Security

• Privacy Preserving Big Data Analytics

• Usable Security and Privacy for Big Data

Quality of Big Data Services

• Big Data Service Performance Evaluation

• Big Data Service Reliability and Availability

• Real-Time Big Data Services

Big Data Search, Mining, and Visualization

• Algorithms and Systems for Big Data Search

• Distributed, and Peer-to-peer Search

• Machine learning based on Big Data

• Visualization Analytics for Big Data

Big Data Applications

• Big Data for Enterprise, Government, and Society

• Case Studies of Big Data Value Creation

• Big Data for Science and Engineering Research

Enabling Resources for Big Data Research

• Big Data Sets

• Big Data Application Benchmarks

• Survey of big data research papers and/or big data sets

Special Track on Real-Time Big Data Analytics

• Techniques and Algorithms for Real-Time Big Data Analytics

• Applications and Evaluation of Real-Time Big Data Systems

Special Track on Big Data/Smart Cities

• Big Data for Improving Resilient Infrastructures

• Big Data Applications such as Healthcare and Transportation