Conference Information

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

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Submission Date:
2023-10-07 Closed
Notification Date:
2023-11-10
Conference Date:
2023-12-01
Location:
Changsha, China
Viewed: 7288   Tracked: 0   Attend: 0
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BDSME
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Conference Partner Index (CP-I)

42.1 / 100
Ranked #4,177 of 5,696 conferences · Top 74%

#253 of 336 in Data Mining & Databases

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-13

Call For Papers

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
Last updated by Dou Sun on

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