Información de la conferencia

BDSME 2023: International Conference on Big Data Science and Management Engineering

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Día de Entrega:
2023-10-07
Fecha de Notificación:
2023-11-10
Fecha de conferencia:
2023-12-01
Ubicación:
Changsha, China
Vistas: 7015   Seguidores: 0   Asistentes: 0

Solicitud de Artículos

BDSME 2023 (International Conference on Big Data Science and Management Engineering) is an academic conference held in Changsha, China on 2023-12-01. The paper submission deadline is 2023-10-07. Acceptance notifications are sent on 2023-11-10.

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 management and industrial manufacturing at present. The conference focuses on research areas related to big data science and management 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 management 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. Track 1: Big Data Science big data mining and analytics big data applications database sensor network and social network for big data computer science & technology security applications of big data big data encryption natural language processing information technology cloud computing techniques for big data machine learning based on big data big data visualization Track 2: Management Engineering scientific data management information system management software management sensor data management electronic information technology big data analysis and its applications information processing and engineering information technology and management science global manufacturing and management optimizing and optimizing management
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