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The IEEE 2017 6th International Congress on Big Data

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When :  2017-06-25

Where :  Hawaii, USA

Submission Deadline :  2017-01-19

Categories :   DBWorld: Database Management Systems ,  Data Mining      

The IEEE 2017 6th International Congress on Big Data(BigData Congress 2017)

June 25 – June 30, 2017, Honolulu, Hawaii, USA

Call for Papers:

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.

Technical topics of interest include but are not limited to the following:

  • 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

Important Dates:

Research Track

  • Abstract Submission Deadline: January 19, 2017
  • Full Paper Submission Due Date: January 26, 2017
  • Decision Notification (Electronic): March 31, 2017
  • Camera-Ready Copy Due Date & Pre-registration Due: April 15, 2017

 

User Name : shaun
Posted 30-12-2016 on 10:55:34 AEDT


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