活动简介

The BigDIA 2022 will bring together research scientists from academia, industries, and government agencies to report progress and exchange ideas to address challenges in fundamental research and rapid knowledge translation in collecting, processing, analyzing, integrating, annotating and visualizing Big Data for scientific exploration, business and policy decision-making.
Sponsor Type:1; 9

组委会

General Co-Chairs

•  Zongben Xu (Xi'an Jiaotong University, China)

•  Jianhong Wu (York University, Canada)

•  Aoying Zhou (Guizhou University, China)

•  Songyang Lao (National University of Defense Technology, China)

Program Co-Chairs

•  Zhun Fan (Shantou University, China)

•  Yongbin Qin (Guizhou University, China)

•  Lihua Liu (National University of Defense Technology, China)

Local Chair

•  Youliang Tian (Guizhou University, China)

Submission Chair

•  Xuan Li (National University of Defense Technology, China)

Finance Chair

•  Shaobo Li (Guizhou University, China)

Publicity Chair

•  Qiuju Chen (University of Science and Technology of China, China)

•  Wen Zhou (National University of Defense Technology, China)

Publication Chairs

•  Jibing Wu (National University of Defense Technology, China)

Steering Committee

•  C. L. Philip Chen (EiC, IEEE Transactions on Cybernetics, South China University of Technology)

•  Laurence T. Yang (St. Francis Xavier University, Canada)

•  Hongbin Huang (National University of Defense Technology, China)

征稿信息

重要日期

2022-06-15
初稿截稿日期
2022-07-05
初稿录用日期
2022-07-15
终稿截稿日期

征稿范围

Scope

The BigDIA 2022 will bring together research scientists from academia, industries, and government agencies to report progress and exchange ideas to address challenges in fundamental research and rapid knowledge translation in collecting, processing, analyzing, integrating, annotating and visualizing Big Data for scientific exploration, business and policy decision-making. Topics of interest include, but are not limited to:

Fundamental theories for Big Data analytics

  • Statistical theories for Big Data
  • Computer science theories for Big Data
  • Mathematical theories for Big Data
  • Big Data computing: architecture, infrastructure, database, algorithm, platform, visualization
  • Programming models and environments for cluster, cloud, and grid computing to support Big Data
  • Swarm intelligence
  • Cognitive computing for Big Data

Application areas

  • EHR and health care Big Data
  • Bioinformatics
  • Precision medicine
  • Multimedia and multi-structured Data
  • Finance and economics
  • Wearable or mobile device data
  • Internet of things
  • Big Data prediction and decision-support systems
  • Cloud/Grid/Stream data mining- big velocity data
  • Big Data management in cloud
  • Industrial Big Data

作者指南

You are invited to submit full papers (a maximum of 8 pages including references), written in English and be formatted according to the IEEE conference templates which can be downloaded (click here). Accepted papers will be submitted for inclusion into the IEEE XploreTM.

Paper submissions are to be made using exclusively EasyChair Submission window (click here) as PDF files.

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重要日期

  • 会议日期

    07月28日

    2022

    至

    07月29日

    2022

  • 06月15日 2022

    初稿截稿日期

  • 07月05日 2022

    初稿录用通知日期

  • 07月15日 2022

    终稿截稿日期

  • 07月29日 2022

    注册截止日期

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Guizhou University
IEEE Systems, Man, and Cybernetics Society
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