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ICBDR 2026: International Conference on Big Data Research

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투고 마감일:
2026-05-10 Extended
통보일:
2026-05-25
개최일:
2026-06-12
개최지:
Chengdu, China
개최 횟수:
7
조회: 15415   팔로우: 0   참가: 0

회반 지수 (CP-I)

45.5 / 100
전체 5,682개 중 2,708위 · 상위 48%

데이터 마이닝·데이터베이스 분야 337개 중 161위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
56
커뮤니티 관심도 (10%)
16
공개 자료 충실도 (15%)
35

사용한 입력: 확인되는 개최 횟수: 7 · 지난 24개월 동안 이 페이지를 연 연구자: 7명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-16

논문 모집

ICBDR 2026 (International Conference on Big Data Research) is an academic conference held in Chengdu, China on 2026-06-12. The paper submission deadline is 2026-05-10 (extended). Acceptance notifications are sent on 2026-05-25.

We encourage original submissions related to, but not limited to, the following advanced energy materials based system topics: Big Data Models and Algorithms Foundational Models for Big Data Algorithms and Programming Techniques for Big Data Processing Big Data Analytics and Metrics Representation Formats for Multimedia Big Data Advances in Neural Networks and Deep Learning for Large-Scale Data Analytics Evolutionary Computation and Genetic Algorithms for Big Data Optimization Fuzzy Systems for Uncertain and Complex Data Modeling Decentralized and Self-Organizing Networks for Scalable Data Clustering Self-Adaptive Architectures for Real-Time Big Data Stream Processing Bio-Inspired Self-Organization in Edge Computing and IoT Data Fusion Big Data Architectures Cloud Computing Techniques for Big Data Big Data as a Service Big Data Open Platforms Big Data in Mobile and Pervasive Computing Real-Time Big Data Processing and Stream Architectures Scalable Storage Systems for Big Data Edge and Fog Computing for Big Data AI-Driven Big Data Architecture Design Energy-Efficient Big Data Systems Privacy-Preserving Big Data Architectures Big Data Management Big Data Persistence and Preservation Big Data Quality and Provenance Control Big Data Storage and Retrieval Adaptive Distributed Storage: Self-Optimizing Architectures for Scalable Data Lakes Self-Healing Data Backup Strategies in Decentralized Environments Autonomic Indexing and Retrieval in Large-Scale Unstructured Data Networks Energy-Efficient Self-Organization for Edge-Based Big Data Processing Bayesian Nonparametrics for Anomaly Detection in High-Velocity Data Streams Robust Statistical Cleaning of Noisy Heterogeneous Datasets Causal Inference Frameworks for Data Quality Root-Cause Analysis Big Data Security and Privacy Big Data System Security and Integrity Big Data Information Security Privacy Preserving Big Data Analytics Secure Multi-Party Computation for Big Data Blockchain-Based Big Data Security Solutions Differential Privacy in Big Data Systems AI-Powered Threat Detection in Big Data Compliance and Regulatory Challenges in Big Data (GDPR, CCPA, etc.) Secure Data Provenance and Auditing Adversarial Attacks and Defenses in Big Data Analytics Big Data in Smart Cities Big Data for Improving Resilient Infrastructures Big Data Applications such as Healthcare and Transportation Big Data for Enterprise, Government, and Society Big Data for Science and Engineering Research Deep Learning for Smart City Traffic Flow Prediction and Optimization Fuzzy Logic-Based Demand Response in Smart Grids: Handling Uncertainty in Energy Load Forecasting Large-Scale Satellite Image Processing: Machine Learning for Deforestation and Carbon Emission Monitoring Bayesian Uncertainty Quantification in Climate Risk Assessment Big Data Search, Mining, and Visualization Algorithms and Systems for Big Data Search Distributed, and Peer-to-peer Search Machine learning based on Big Data Visualization Analytics for Big Data Interactive and Real-Time Big Data Visualization Explainable AI (XAI) for Big Data Mining Graph Mining and Network Analysis at Scale Natural Language Processing (NLP) for Big Text Data Multimodal Big Data Fusion and Mining Human-in-the-Loop Big Data Analytics
최종 수정: Dunn Carl ()

관련 학회

CCFICORECP-I약칭정식 명칭투고 마감개최일
39.8Big DataInternational Conference on Big Data2014-04-302014-08-04
43.4IEEE Big Data ServiceIEEE International Conference On Big Data Service and Applications2018-11-302019-04-04
AA*92.4SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-07-20
AA*97.7AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*91.1CVPRIEEE Conference on Computer Vision and Pattern Recognition2025-11-062026-06-03
BA*89.7ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*94.0IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*89.3STOCACM Symposium on Theory of Computing2025-11-042026-06-22
C87.3ICCInternational Conference on Communications2026-10-022027-05-30
CB62.6IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Big Data Research4.2Elsevier2214-5796
Journal of Big Data6.4Springer2196-1115
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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