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The 3rd IEEE International Conference on Big Data Intelligence and Computing

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When :  2017-11-06

Where :  Orlando,Florida

Submission Deadline :  2017-06-15

Categories :   Cloud Computing ,  Information Technology Management      

Untitled Document

The 3rd IEEE International Conference on Big Data Intelligence and Computing(DataCom 2017)

November 06-10, 2017

Orlando, Florida

Call for Papers:

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 2017 International Conference on Big Data Intelligence and Computing (IEEE DataCom 2017) 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 2017 welcomes paper submissions on innovative work from researchers in academia, industry and government describing original research work in Big Data. 

Topics:

  • Algorithmic, experimental, prototyping and implementation.
  • Big data economy, QoS and business models.
  • Big data science and foundations, analytics, visualisation and semantics.
  • Complex applications in areas where massive data is generated.
  • Computing, scheduling and resource management for sustainability.
  • Data intensive computing theorems and technologies.
  • Data-driven innovation, computational modelling and data integration.
  • Hardware and infrastructure, green data centres/environmental-friendly perspectives.
  • Intelligence and scientific discovery.
  • Large-scale recommendation systems and graph analysis.
  • Modelling, simulation and performance evaluation .
  • Security, privacy and legal issues specific to big data.
  • Software and tools for big data management.
  • Software, hardware and algorithm co-design, high-performance computing.
  • The 5Vs of the data landscape: volume, variety, velocity, veracity, value.

Important Dates:

  • Paper Submission: June 15, 2017
  • Author Notification: August 20, 2017
  • Final Version Due : August 31, 2017

User Name : Claude
Posted 22-02-2017 on 14:31:10 AEDT


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