Conference Information

BigComp 2027: International Conference on Big Data and Smart Computing

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Submission Date:
2026-09-30 Due in 8 days
Notification Date:
2026-11-30
Conference Date:
2027-01-25
Location:
Fukuoka, Japan
Years:
Viewed: 31095   Tracked: 13   Attend: 6

Conference Partner Index (CP-I)

54.4 / 100
Ranked #888 of 5,683 conferences · Top 16%

#42 of 337 in Data Mining & Databases

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%)
73
Community attention (10%)
41
Public record completeness (15%)
55

Inputs used: Editions on record: 14 · Researchers following it here: 13 · Researchers who opened this page in the past 24 months: 7

Missing from the public record: Historical acceptance rates (+4.5) · 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 2026-09-22

Call For Papers

BigComp 2027 (International Conference on Big Data and Smart Computing) is an academic conference held in Fukuoka, Japan on 2027-01-25. The paper submission deadline is 2026-09-30. Acceptance notifications are sent on 2026-11-30.

Topics of Interest We invite the submission of original research contributions in the following areas, but also welcome any original contributions that may cross the boundaries among areas or point in other novel directions. In addition, IEEE BigComp 2027 encourages submissions about products, practices, and services in industry: AI for big data and smart computing Big data analytics and social media Big data applications / big data as a service Big data ecosystem Big data in the era of LLMs Bioinformatics, multimedia, smartphones, etc. Cloud and grid computing for big data Crowdsourcing and human-in-the-loop Data mining and data science Data and information quality Disaster analysis Infrastructure and platform for big data and smart computing Knowledge graph, graph data management and mining Machine learning and AI theory and fundamentals Mobile communications and smart location-based services Recommender systems Search/retrieval and generation of big data Security and privacy for big data Smart computing models, tools, and devices Techniques, models and algorithms for big data Tools and systems for big data Understanding multi-modal data
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