会议信息
ICBDSE 2026: International Conference on Big Data Science and Engineering
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截稿日期: |
2026-04-12 |
通知日期: |
2026-05-22 |
会议日期: |
2026-06-12 |
会议地点: |
Kunming, China |
届数: |
3 |
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征稿
About ICBDSE 2026
Since the 21st century, global data has shown an explosive growth trend and the era of big data has arrived. The advent of the Big Data era has brought unprecedented opportunities for higher education institutions to cultivate data science talents, and at the same time brought great challenges. At the meantime, Data science has visualized its impact in engineering and industrial manufacturing at present. The conference focuses on research areas related to big data science and engineering aiming to provide a professional academic interchange platform for experts and scholars in related fields to discuss new developments in big data science and engineering, broaden research ideas, promote the combination of industry, academia, and research, and provide a strong backing for the world economy to achieve a substantial leap forward. Experts from universities, research institutions, business, and other related people are warmly welcomed to submit papers and participate in the conference, where scholars will be able to listen to brilliant presentations by renowned experts and share leading research results and innovative ideas in the industry.
Call for Papers
Big Data Mining and Analytics
Big Data Applications
Database
Security Applications of Big Data
Big Data Encryption
Information Technology
Cloud Computing Techniques for Big Data
Machine Learning Based on Big Data
Big Data Visualization
Distributed Storage Systems
Data Privacy and Security
Machine Learning Algorithms
Deep Learning Algorithms
Graph Algorithms
Reinforcement Learning Algorithms
Unsupervised Learning Algorithms
Anomaly Detection Algorithms
Agricultural Big Data Analysis
Stream Processing Systems
Big Data Storage and Retrieval
Data Mining Systems
Since the 21st century, global data has shown an explosive growth trend and the era of big data has arrived. The advent of the Big Data era has brought unprecedented opportunities for higher education institutions to cultivate data science talents, and at the same time brought great challenges. At the meantime, Data science has visualized its impact in engineering and industrial manufacturing at present. The conference focuses on research areas related to big data science and engineering aiming to provide a professional academic interchange platform for experts and scholars in related fields to discuss new developments in big data science and engineering, broaden research ideas, promote the combination of industry, academia, and research, and provide a strong backing for the world economy to achieve a substantial leap forward. Experts from universities, research institutions, business, and other related people are warmly welcomed to submit papers and participate in the conference, where scholars will be able to listen to brilliant presentations by renowned experts and share leading research results and innovative ideas in the industry.
Call for Papers
Big Data Mining and Analytics
Big Data Applications
Database
Security Applications of Big Data
Big Data Encryption
Information Technology
Cloud Computing Techniques for Big Data
Machine Learning Based on Big Data
Big Data Visualization
Distributed Storage Systems
Data Privacy and Security
Machine Learning Algorithms
Deep Learning Algorithms
Graph Algorithms
Reinforcement Learning Algorithms
Unsupervised Learning Algorithms
Anomaly Detection Algorithms
Agricultural Big Data Analysis
Stream Processing Systems
Big Data Storage and Retrieval
Data Mining Systems
最后更新 Dou Sun 在 2026-01-03
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相关期刊
| CCF | 全称 | 影响因子 | 出版商 | ISSN |
|---|---|---|---|---|
| Materials Science and Engineering: R: Reports | 26.8 | Elsevier | 0927-796X | |
| IEEE Transactions on Network Science and Engineering | 7.9 | IEEE | 2334-329X | |
| b | IEEE Transactions on Automation Science and Engineering | 6.4 | IEEE | 1545-5955 |
| c | Data Science and Engineering | 4.6 | Springer | 2364-1185 |
| Materials Science and Engineering: B | 4.6 | Elsevier | 0921-5107 | |
| b | Data & Knowledge Engineering | 2.6 | Elsevier | 0169-023X |
| Journal of Computer Science Engineering | 2.5 | IJRDO | 2456-1843 | |
| Computing in Science & Engineering | 1.9 | IEEE | 1521-9615 | |
| Journal of Information Science and Engineering | 1.100 | Institute of Information Science | 0000-0000 | |
| Journal of Control Science and Engineering | 1.000 | Hindawi | 1687-5249 |