Conference Information

ICCRAIDS 2027: International Conference on Current Research in Artificial Intelligence and Data Science

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Submission Date:
2027-01-31 Due in 110 days
Notification Date:
2027-03-10
Conference Date:
2027-04-10
Location:
Kanazawa, Japan
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ICCRAIDS
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Conference Partner Index (CP-I)

43.6 / 100
Ranked #3,492 of 5,696 conferences · Top 62%

#201 of 336 in Data Mining & Databases #432 of 741 in Artificial Intelligence & Machine Learning

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%)
35

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

ICCRAIDS 2027 (International Conference on Current Research in Artificial Intelligence and Data Science) is an academic conference held in Kanazawa, Japan on 2027-04-10. The paper submission deadline is 2027-01-31. Acceptance notifications are sent on 2027-03-10.

SCOPE Topics of interest include (but are not limited to): Track 1 Artificial Intelligence, Machine Learning, and Data Science AI Algorithms and Models Deep Learning Reinforcement Learning Natural Language Processing AI in Healthcare and Medicine Autonomous Systems and Robotics Machine Learning for Smart Cities Data Privacy in AI Systems Cognitive Computing Big Data Analytics Predictive Analytics Real-Time Data Analysis Data Mining and Knowledge Discovery Track 2 Cloud Computing, Computational Science, and High-Performance Systems Cloud Computing and Big Data Computational Modeling and Simulations Edge and Fog Computing Grid Computing for Data Science High-Performance Computing (HPC) Distributed and Parallel Computing Data Storage and Management in Cloud Environments Internet of Things (IoT) and Cloud Integration Track 3 Multimedia, Interactive Systems, and Software Engineering Multimedia Data Analysis Computer Vision and Image Processing Augmented and Virtual Reality Multimedia Information Retrieval Interactive Media and Pervasive Gaming Speech Recognition and Processing Human-Computer Interaction (HCI) Software Development and Design for AI Applications AI-Driven Software Engineering Software Engineering for Big Data
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