BigData Congress 2017 will be co-located with the following service-oriented sister conferences: the 10th IEEE 2017 International Conference on Cloud Computing (CLOUD 2017), the 14th IEEE 2017 International Conference on Services Computing (SCC 2017), the 24th IEEE International Conference on Web Services (ICWS 2017), the 6th IEEE International Conference on Mobile Services (AIMS 2017), and the 13th World Congress on Services (SERVICES 2017). These co-located theme topic conferences will all revolve around "services," while each focusing on exploring different aspects (cloud-based services, web-based services, business services, mobile services, vertical industry services, and Big Data services).
The technical program of BigData Congress 2017 will consist of a set of regular tracks and a new set of special tracks. The regular tracks are: regular research track, regular applications track, and short paper track. These tracks are similar to previous BigData Congress submission tracks. The regular research track will emphasize both theoretical and experimental research contributions. The regular applications track will pay special attention to insights derived from real world big data applications, particularly with respect to experience reports and evaluation results. The short paper track will consider concise papers for timely dissemination of new ideas and exploratory results.
Foundational Models for Big Data
Algorithms and Programming Techniques for Big Data Processing
Big Data Analytics and Metrics
Cloud Computing Techniques for Big Data
Big Data as a Service
Big Data Open Platforms
Big Data Persistence and Preservation
Big Data Quality and Provenance Control
Big Data Storage and Retrieval
Big Data System Security and Integrity
Big Data Information Security
Privacy Preserving Big Data Analytics
Usable Security and Privacy for Big Data
Big Data Service Performance Evaluation
Big Data Service Reliability and Availability
Real-Time Big Data Services
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 for Enterprise, Government, and Society
Case Studies of Big Data Value Creation
Big Data for Science and Engineering Research
Big Data Sets
Big Data Application Benchmarks
Survey of big data research papers and/or big data sets
Techniques and Algorithms for Real-Time Big Data Analytics
Applications and Evaluation of Real-Time Big Data Systems
Big Data for Improving Resilient Infrastructures
Big Data Applications such as Healthcare and Transportation
User Name : shaun
Posted 30-12-2016 on 10:55:34 AEDT