Conference Information

ICBASE 2027: International Conference on Big Data & Artificial Intelligence & Software Engineering

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Submission Date:
2027-03-21 Due in 165 days
Notification Date:
2027-04-20
Conference Date:
2027-06-04
Location:
Dalian, China
Years:
Viewed: 13281   Tracked: 2   Attend: 5
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ICBASE
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Conference Partner Index (CP-I)

50.7 / 100
Ranked #1,458 of 5,694 conferences · Top 26%

#75 of 336 in Data Mining & Databases #113 of 247 in Software Engineering #136 of 741 in Artificial Intelligence & Machine Learning

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%)
31
Public record completeness (15%)
55

Inputs used: Editions on record: 8 · Researchers following it here: 2 · Researchers who opened this page in the past 24 months: 14

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 2026-10-07

Call For Papers

ICBASE 2027 (International Conference on Big Data & Artificial Intelligence & Software Engineering) is an academic conference held in Dalian, China on 2027-06-04. The paper submission deadline is 2027-03-21. Acceptance notifications are sent on 2027-04-20.

The topics of interest for submission include, but are not limited to: Track 1: Big Data Technology Big Data Mining, Image Processing, Signal Processing, Data Visualization, Data Analysis, Cloud Computing Technologies/Applications, High-Performance Computing, Intelligent Computing, Edge Computing, Distributed Computing, Data Storage, Big Data Protection, Intelligent Application Systems, Data Privacy Protection, Network Security Track 2: Artificial Intelligence Natural Language Processing, Fuzzy Logic and Soft Computing, Machine Learning, Deep Learning, Reinforcement Learning, Meta-learning and Transfer Learning, Pattern Recognition, Multimodal Learning, Brain-Computer Interface, Large Language Models, Intelligent Systems and Applications, Distributed Artificial Intelligence, Intelligent Robotics Track 3: Software Engineering Software Requirements Engineering, Software Testing, Software Architecture Design, Microservices Architecture, Cloud-Native Applications, Software Maintenance, Embedded Software, Formal Methods, Open Source Software Ecosystem, Software Security, Code Development Techniques, Software Engineering Process Improvement, Software Development Technologies
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