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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
浏览: 5428   关注: 0   参加: 0

征稿

ICBDSE 2026 (International Conference on Big Data Science and Engineering) is an academic conference held in Kunming, China on 2026-06-12. The paper submission deadline is 2026-04-12. Acceptance notifications are sent on 2026-05-22.

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
由 Dou Sun 最后更新于

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cKnowledge-Based Systems7.2Elsevier0950-7051
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