Conference Information

BCD 2023: IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering

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BCD
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Submission Date:
2023-07-30
Notification Date:
2023-08-31
Conference Date:
2023-12-14
Location:
Hochimin City, Vietnam
Years:
8
Viewed: 14455   Tracked: 1   Attend: 0

Conference Partner Index (CP-I)

44.6 / 100
Ranked #2,964 of 5,684 conferences · Top 53%

#175 of 337 in Data Mining & Databases #233 of 341 in Systems & Architecture

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%)
59
Community attention (10%)
15
Public record completeness (15%)
25

Inputs used: Editions on record: 8 · Researchers following it here: 1 · 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 45% - 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 2026-09-24

Call For Papers

BCD 2023 (IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering) is an academic conference held in Hochimin City, Vietnam on 2023-12-14. The paper submission deadline is 2023-07-30. Acceptance notifications are sent on 2023-08-31.

The topics of interests include but not limited to: Big data Infrastructure Cloud Solution Design Patterns Hybrid cloud Big data management Data analysis applications - bioinformatics Mobile processing of big data Big data privacy and security Data analysis applications - business intelligence NoSQL data stores Big data theory and algorithms Data analysis applications - social informatics Outlier detection in big data Big data visualization Data cleaning methodologies Processing of text documents Cloud Application Scalability and Availability Data extraction, transformation and load Public and private clouds Cloud Applications Performance and Monitoring Data mining and knowledge discovery and bigdata Emotional Artificial Intelligence, Metaverse Cloud Computing Architecture Data modeling Social network analysis Cloud Delivery Models Distributed data structures, MapReduce Web services Cloud Optimization and Automation Education in data science & engineering Web-based data analysis
Last updated by Dou Sun on

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