Conference Information

BDCI 2027: International Conference on Big Data and Computational Intelligence

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Submission Date:
2027-01-30 Due in 115 days
Notification Date:
2027-02-25
Conference Date:
2027-06-25
Location:
Seoul, South Korea
Years:
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BDCI
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Conference Partner Index (CP-I)

48.2 / 100
Ranked #2,059 of 5,694 conferences · Top 37%

#120 of 337 in Data Mining & Databases #219 of 742 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%)
56
Community attention (10%)
12
Public record completeness (15%)
55

Inputs used: Editions on record: 7 · Researchers who opened this page in the past 24 months: 4

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

BDCI 2027 (International Conference on Big Data and Computational Intelligence) is an academic conference held in Seoul, South Korea on 2027-06-25. The paper submission deadline is 2027-01-30. Acceptance notifications are sent on 2027-02-25.

We invite submissions of original research papers on the topics related to big data and computational Intelligence for the upcoming BDCI conference. The conference aims to provide a platform for researchers, engineers, and practitioners from academia, industry, and government to exchange ideas, share experiences, and present their latest research findings in this field. Topics of interest for submission include, but are not limited to: 1. Big Data Analytics Data mining, processing, and visualization Big Data architectures and technologies (Hadoop, Spark, etc.) Scalable algorithms for Big Data Data privacy and security Real-time data processing and analytics 2. Computational Intelligence Machine learning and deep learning Neural networks, fuzzy systems, and genetic algorithms Evolutionary computation and swarm intelligence Reinforcement learning and optimization techniques Explainable AI (XAI) 3. Data-Driven Applications Healthcare and bioinformatics Smart cities and IoT Financial technology and risk management Autonomous systems and robotics Social media and sentiment analysis 4. Integration of Big Data and Computational Intelligence AI-driven Big Data solutions Hybrid models for Big Data analysis Data fusion and multi-source learning Cloud computing and edge computing for Big Data Ethical considerations and societal impacts of AI and Big Data
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