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BCD 2027: ACIS International Conference on Big Data, Cloud Computing, and Data Science

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회원가입 로그인
투고 마감일:
2027-02-26 110일 남음
통보일:
2027-04-05
개최일:
2027-05-26
개최지:
Las Vegas, Nevada, USA
개최 횟수:
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조회: 14756   팔로우: 1   참가: 0
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BCD
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회반 지수 (CP-I)

50.4 / 100
전체 5,771개 중 1,632위 · 상위 29%

데이터 마이닝·데이터베이스 분야 340개 중 88위 시스템·아키텍처 분야 342개 중 156위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
65
커뮤니티 관심도 (10%)
17
공개 자료 충실도 (15%)
55

사용한 입력: 확인되는 개최 횟수: 10 · 회반에서 팔로우 중인 연구자: 1명 · 지난 24개월 동안 이 페이지를 연 연구자: 3명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
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신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.2 · 산출일 2026-11-08

논문 모집

BCD 2027 (ACIS International Conference on Big Data, Cloud Computing, and Data Science) is an academic conference held in Las Vegas, Nevada, USA on 2027-05-26. The paper submission deadline is 2027-02-26. Acceptance notifications are sent on 2027-04-05.

The International Conference on Big Data, Cloud Computing, and Data Science invites researchers, academics, industry professionals, and practitioners to submit original research papers, innovative applications, and emerging perspectives addressing recent advances in big data, cloud computing, edge intelligence, artificial intelligence, and data science, with applications across emerging and transformative technologies. The conference provides a multidisciplinary forum for researchers and professionals to exchange ideas, present novel research findings, discuss emerging technologies, and explore interdisciplinary applications of data-driven computing. Topics of Interest We welcome high-quality original submissions covering, but not limited to, the following topics: Big Data and Data Analytics • Big Data Analytics and Architectures • Data Mining and Knowledge Discovery • Statistical learning, and large-scale analytics • Data Fusion and Real-Time Data Analytics • Large-Scale Data Processing and Analytics • Distributed Data Science and Data Management • Data Quality, Integration, and Governance • Graph Analytics and Network Data • High-Performance Data Analytics • Data Visualization and Decision Support • Multimodal Data Analytics • Quantum Analytic Cloud, Edge, and Distributed Computing • Cloud Computing Architectures and Services • Cloud-Native Computing • Edge Intelligence and Fog Computing • Cloud-Edge-IoT Integration • Serverless and Distributed Computing • Resource Management and Optimization • Cloud Orchestration and Virtualization • Cloud Security and Privacy • Multi-Cloud and Hybrid-Cloud Environments • Energy-Efficient and Sustainable Cloud Computing Artificial Intelligence and Machine Learning • Machine Learning and Deep Learning for Big Data • Generative AI and Large Language Models for Big Data • Multimodal Big data Analytics • Distributed and Federated Computing for Big Data Processing • Explainable and Trustworthy AI Big Data Analytics • AI Optimization and Efficient AI for Big Data and Cloud Computing • Agentic AI and Intelligent Big Data Autonomous Agents • LLM-Based Agents for Big Data Decision-Making • Trustworthy, Explainable, and Safe Agentic AI for Big Data • AI for Autonomous and Intelligent Big Data Systems Data Science and Applications • Data-Driven Decision-Making and Intelligent Analytics • Statistical Learning and Data Modeling • Data Visualization and Visual Analytics • Time-Series Analysis and Forecasting • Healthcare and Biomedical Data Science • Smart Cities and Intelligent Big Data Infrastructure • Intelligent Transportation and Autonomous Vehicles • UAVs and Aerial Autonomous Systems with Big Data Analytics • Big Data Analytics for Robotics Systems • Business, Economics, and Financial Big Data Analytics • Industrial Automation and Intelligent Manufacturing with Big Data • Environmental Monitoring and Sustainable Big Data Systems • Big Data Energy Analytics • Digital-Twin-Enabled Big Data Applications Security, Privacy, and Resilience • Big Data Security and Privacy • Cloud and Edge Security • Data Privacy, Access Control, and Security Analytics • Adversarial Machine Learning for Big Data Security • AI-Driven Cybersecurity and Big Data Security Analytics • Big Data Analytics for IoT and Cyber-Physical Systems Security • Security of Agentic Systems for Big Data • AI-Enabled Threat Intelligence and Big Data Analytics • Blockchain for Big Data Security and Analytics • Secure and Resilient Distributed Big Data Systems
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관련 학회

CCFICORECP-I약칭정식 명칭투고 마감개최일
50.4ACISAustralian Conference on Information Systems2018-08-062018-12-03
39.8Big DataInternational Conference on Big Data2014-04-302014-08-04
C56.7DATAInternational Conference on Data Science, Technology and Applications2027-03-252027-07-19
38.7Data'International Conference on Data Science, E-learning and Information Systems2019-04-152019-12-02
46.4CLOUD''International Conference on Cloud Computing2026-05-212026-08-22
54.5CLOUDInternational Conference on Cloud Computing2026-03-082026-07-13
43.4IEEE Big Data ServiceIEEE International Conference On Big Data Service and Applications2018-11-302019-04-04
CB58.2IEEE CLOUDIEEE International Conference on Cloud Computing2023-03-252023-07-02
47.6CLOUD'International Conference on Cloud Computing: Services and Architecture2023-03-112023-03-18
43.4Smart DataIEEE International Conference on Smart Data2016-09-302016-12-15

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
IEEE Cloud Computing MagazineIEEE2325-6095
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 Letters3.5Elsevier0167-8655

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