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ISBDAS 2026: International Symposium on Big Data and Applied Statistics

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투고 마감일:
2026-02-27
통보일:
2026-03-01
개최일:
2026-03-06
개최지:
Guangzhou, China
개최 횟수:
9
조회: 17894   팔로우: 5   참가: 1

논문 모집

ISBDAS 2026 (International Symposium on Big Data and Applied Statistics) is an academic conference held in Guangzhou, China on 2026-03-06. The paper submission deadline is 2026-02-27. Acceptance notifications are sent on 2026-03-01.

The 9th International Symposium on Big Data and Applied Statistics (ISBDAS 2026) will be held from March 6 to 8, 2026, in Guangzhou, China. This conference aims to establish a high-level platform for global experts, engineers, researchers, and industry professionals in "Big Data" and "Applied Statistics" to share cutting-edge research and technological innovations, track academic trends, broaden research perspectives, foster in-depth scholarly collaboration, and accelerate industrial partnerships for academic achievements. The topics of interest for submission include, but are not limited to: ◕ Big Data · Big Data Analytics · Models, Architecture, and algorithms of Big Data · Big Data Search and Information Retrieval Techniques · Big Data Acquisition, Integration, Cleaning · Scalable Computing Models, Theories, and Algorithms · Big Data and Deep Learning · Big Data and High Performance Computing · Cyber-Infrastructure for Big Data · Resource Management Approaches for Big Data Systems · Big Data Applications for Internet of Things · Big Data Applications for Smart City · Scalability of Big Data Systems · Big Data Privacy and Security · Big Data Archival and Preservation · Big Data Transformation, and Presentation · Distributed Big Data Storage Architectures · High-Performance Big Data Processing Frameworks · Cloud Native Big Data Computing Models · Lossless Big Data Compression Algorithms · Edge - Cloud Collaborative Big Data Computing ◕ The applied mathematics theory · Statistical Computing in Big Data Environments · Statistical Methods for High-Dimensional Data Analysis · Applications of Nonparametric Statistical Methods in Data Mining · Statistical Learning Theory and Algorithms · Statistical Software & Tool Development · Advanced Cluster Analysis Algorithms · Data Multivariate Statistical Methods · Statistical Data Fusion in Sensor Networks · Statistical Classification Algorithms in Pattern Recognition · Time Series Forecasting & Modeling · Statistical Analysis and Prediction in Power Systems · Statistical Modeling and Optimization in Communication Networks · Statistical Reliability Prediction Algorithms
최종 수정: Dou Sun ()

관련 학회

CCFCOREQUALIS약칭정식 명칭투고 마감통보일개최일
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AA*A1AAAIAAAI Conference on Artificial Intelligence2026-07-212026-11-302027-02-16
AA*A1CVPRIEEE Conference on Computer Vision and Pattern Recognition2025-11-062026-02-202026-06-03
BBA1ICRAInternational Conference on Robotics and Automation2025-09-152026-06-01
BA*A1IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*A1STOCACM Symposium on Theory of Computing2025-11-042026-02-012026-06-22
CBA2ICCInternational Conference on Communications2025-10-132026-01-122026-05-24
CAA2IJCNNInternational Joint Conference on Neural Networks2025-01-152025-03-312025-06-30

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Statistics and Computing1.6Springer0960-3174
Computational Statistics & Data Analysis1.6Elsevier0167-9473
Computational Statistics1.4Springer0943-4062
Spatial Statistics2.5Elsevier2211-6753
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340

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