IEEE DataCom 2016

The 2nd IEEE International Conference on Big Data Intelligence and Computing

Auckland, New Zealand, August 8-12, 2016

Sponsors
News
Accepted Paper List Updated -- 05/26/2016
On-line registration Opening -- 05/25/2016

IEEE DataCom 2016

    Big data is a rapidly expanding research area spanning the fields of computer science and information management, and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, applied mathematics, medicine, computational biology, healthcare, social networks, finance, business, government, education, transportation and telecommunications.

    The goal of the IEEE 2016 International Conference on Big Data Intelligence and Computing (IEEE DataCom 2016) is to establish an international forum for engineers and scientists to present their ideas and experiences in the fields of Big Data intelligence and computing. IEEE DataCom 2016 welcomes paper submissions on innovative work from researchers in academia, industry and government describing original research work in Big Data.

    IEEE DataCom 2016 will be held on August 8-12, 2016, co-located with IEEE CyberSciTech 2016, IEEE DASC 2016 and IEEE PICom 2016, in Auckland, New Zealand

Scope and Topics

Topics of interest include, but are not limited to:

  • The 5Vs of the data landscape: volume, variety, velocity, veracity, value
  • Big data science and foundations, analytics, visualization and semantics
  • Software and tools for big data management
  • Security, privacy and legal issues specific to big data
  • Big data economy, QoS and business models
  • Scientific discovery and business intelligence
  • Software, hardware and algorithm co-design, high-performance computing
  • Large-scale recommendation systems and graph analysis
  • Infrastructures and systems for big data analytics and managements
  • Middleware and tools for big data analytics and managements
  • Algorithmic, experimental, prototyping and implementation
  • Data quality issues: such as validation, metrics, optimizations and consistency
  • Data-driven innovation, computational modelling and data integration
  • Data intensive computing theorems and technologies
  • Big data for advanced manufacturing and productivity
  • Modelling, simulation and performance evaluation
  • Green data centers / environmental-friendly perspectives
  • Computing, scheduling and resource management for sustainability
  • Complex applications in areas where massive data is generated
Important Dates
Tutorial / Workshop / Special Session Proposal Due:
February 29, 2016
Paper Submission (Research Track):
April 30, 2016 (Firm Deadline)
Paper Submission (Works-in-Progress/workshop):
April 30, 2016
Paper Submission (Demo /Poster /Special session):
May 5, 2016
Author Notification (Research/workshop/WIP/Poster):
May 24, 2016
Camera ready / registration deadline:
June 8, 2016