会議情報
ICBDA 2025: IEEE Conference on Big Data Analytics
https://www.icbda.org/
提出日:
2025-02-10 Extended
通知日:
2025-02-20
会議日:
2025-03-13
場所:
Singapore
年:
10
閲覧: 27961   追跡: 20   出席: 5

論文募集
Aims and Scope

2025 the 10th 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
最終更新 Dunn Carl 2025-01-13
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CCF完全な名前インパクト ・ ファクター出版社ISSN
Statistical Analysis and Data MiningJohn Wiley & Sons, Ltd1932-1872
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IEEE Communications Letters3.700IEEE1089-7798
aACM Transactions on Graphics9.5ACM0730-0301
ACM Transactions on Intelligent Systems and Technology6.6ACM2157-6904
Knowledge Engineering ReviewCambridge University Press0269-8889
aIEEE Transactions on Image Processing13.7IEEE1057-7149
The Photogrammetric Record2.100Wiley-Blackwell0031-868X
cInternational Journal of Cooperative Information Systems0.500World Scientific0218-8430