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ICBDA 2026: IEEE Conference on Big Data Analytics

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투고 마감일:
2026-02-10 Extended
통보일:
2026-03-01
개최일:
2026-04-11
개최지:
Tokyo, Japan
개최 횟수:
11
조회: 33537   팔로우: 20   참가: 5

논문 모집

ICBDA 2026 (IEEE Conference on Big Data Analytics) is an academic conference held in Tokyo, Japan on 2026-04-11. The paper submission deadline is 2026-02-10 (extended). Acceptance notifications are sent on 2026-03-01.

Aims and Scope 2026 the 11th International Conference on Big Data Analytics (ICBDA) has established itself as the world’s premier research conference in Big Data Analytics. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences. ICBDA draws researchers, application developers, and practitioners from a wide range of Big Data Analytics related areas such as Big Data Models and Algorithms, Big Data Architectures, Big Data Management, Big Data Protection, Big Data Search and Mining and Big Data for Enterprise, Government and Society. By promoting novel, high-quality research findings, and innovative solutions to challenging Big Data Analytics, the conference seeks to advance the state-of-the-art in Big Data Analytics. Topics of Interest Topics of interest include, but are not limited to: 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 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 Big Data Management Big Data Persistence and Preservation Big Data Quality and Provenance Control Management Issues of Social Network Big Data Big Data Protection, Integrity and Privacy Models and Languages for Big Data Protection Privacy Preserving Big Data Analytics Big Data Encryption Security Applications of Big Data Anomaly Detection in Very Large Scale Systems Collaborative Threat Detection using Big Data Analytics Big Data Search and Mining Algorithms and Systems for Big Data Search Distributed, and Peer-to-peer Search Machine learning based on Big Data Visualization Analytics for Big Data Big Data for Enterprise, Government and Society Big Data Economics Real-life Case Studies of Value Creation through Big Data Analytics Big Data for Business Model Innovation Big Data Toolkits Big Data in Business Performance Management SME-centric Big Data Analytics Big Data for Vertical Industries (including Government, Healthcare, and Environment) Scientific Applications of Big Data Large-scale Social Media and Recommendation Systems Experiences with Big Data Project Deployments Big Data in Enterprise Management Models and Practices Big Data in Government Management Models and Practices Big Data in Smart Planet Solutions Big Data for Enterprise Transformation Blockchain Blockchain based lightweight data structures for IoT data Blockchain based IoT security solutions Blockchain in cyber physical systems Blockchain in social networking Bolckchain in crowdsourcing and crowdsensing Blockchain in 5G Blockchain in edge and cloud computing Blockchain and trust management
최종 수정: Dunn Carl ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
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 Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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