2024 10th International Conference on Big Data and Information Analytics (BigDIA)

活动简介

International Conference on Big Data and Information Analytics (BigDIA) is to 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.
This is the 10^th meeting of the annual conference series previously held in USA, Canada and China. The primary goal of the annual conference is to exchange and stimulate innovative ideas of state-of-art data science approaches and technologies to collect, process, analyze, integrate, annotate and visualize Big Data; to promote interactions and collaborations among all scientists, researchers and practitioners who develop data science theories, algorithms and methods to deal with and analyze Big Data from different aspects such as computer science, statistics, mathematics and other quantitative/computational sciences as well as domain-specific applications.

组委会

nternational Advisory Committees

Zongben Xu (Xi’an Jiaotong University, China)
Xin Yao (Lingnan University, Hongkong, China)
Huaimin Wang (National University of Defense Technology, China)
Cyril Leung (University of British Columbia, Canada)
Laurence T. Yang (St.Francis Xavier University, Canada & Hainan University, China)
C. L. Philip Chen (EiC, IEEE Transactions on Cybernetics, South China University of Technology)

General Co-Chairs

Hongbin Huang (National University of Defense Technology, China)
Huanhuan Chen (University of Science and Technology of China, China)
Sansanee Auephanwiriyakul (Chiang Mai University, Thailand)

Program Co-Chairs

Bin Li (University of Science and Technology of China, China)
Weidong Bao (Laboratory for Big Data and Decision, China)
Lihua Liu (National University of Defense Technology, China)

Local Chairs

Sutasinee Thovuttikul (Chiang Mai University, Thailand)

Submission Chairs

Zhenchao Tao (University of Science and Technology of China, China)
Bin Ge (Laboratory for Big Data and Decision, China)

Session Co-Chairs

Yaohong Zhang (Laboratory for Big Data and Decision, China)
Xiangyu Wang (University of Science and Technology of China, China)
Hao Chen (Laboratory for Big Data and Decision, China)
Jinlong Li (University of Science and Technology of China, China)

Finance Chair

Qiuju Chen (University of Science and Technology of China, China)
Liang Zhang (Laboratory for Big Data and Decision, China)

Registration Chairs

Qiang Tu (University of Science and Technology of China, China)
Weixin Zeng (National University of Defense Technology, China)

Publicity Chairs

Jialin Liu (Southern University of Science and Technology, China)
Xiren Zhou (University of Science and Technology of China, China)
Kaiming Xiao (National University of Defense Technology, China)

Publication Chairs

Jibing Wu (Laboratory for Big Data and Decision, China)
Ji Wang (Laboratory for Big Data and Decision, China)

Web Chair

Yizhan Fan (University of Science and Technology of China, China)

征稿信息

重要日期

2024-08-10

初稿截稿日期

The BigDIA 2024 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

Paper Submission

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 at here. Accepted papers will be submitted for inclusion into the IEEE XploreTM. Please visit the BigDIA 2024 webpage https://2024.bigdia.org for more information.

Paper submissions are to be made using exclusively EasyChair submission window https://easychair.org/cfp/BigDIA2024 as PDF files.