Información de la conferencia
BCD 2023: IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering
https://acisinternational.org/conferences/bcd-2023/Día de Entrega: |
2023-07-30 |
Fecha de Notificación: |
2023-08-31 |
Fecha de Conferencia: |
2023-12-14 |
Ubicación: |
Hochimin City, Vietnam |
Años: |
8 |
Vistas: 10894 Seguidores: 1 Asistentes: 0
Solicitud de Artículos
The topics of interests include but not limited to: Big data Infrastructure Cloud Solution Design Patterns Hybrid cloud Big data management Data analysis applications - bioinformatics Mobile processing of big data Big data privacy and security Data analysis applications - business intelligence NoSQL data stores Big data theory and algorithms Data analysis applications - social informatics Outlier detection in big data Big data visualization Data cleaning methodologies Processing of text documents Cloud Application Scalability and Availability Data extraction, transformation and load Public and private clouds Cloud Applications Performance and Monitoring Data mining and knowledge discovery and bigdata Emotional Artificial Intelligence, Metaverse Cloud Computing Architecture Data modeling Social network analysis Cloud Delivery Models Distributed data structures, MapReduce Web services Cloud Optimization and Automation Education in data science & engineering Web-based data analysis
Última Actualización Por Dou Sun en 2023-07-09
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Nombre Completo | Factor de Impacto | Editor |
---|---|---|
Expert Systems | 3.000 | John Wiley & Sons |
Language Learning & Technology | 3.800 | University of Hawaii Press |
International Journal of UbicComp | AIRCC | |
Journal of Cloud Computing | Springer | |
Journal of Cultural Heritage | 3.500 | Elsevier |
IEEE Transaction on Affective Computing | IEEE | |
Fuzzy Information and Engineering | Taylor & Francis | |
Numerical Heat Transfer, Part B: Fundamentals | 1.700 | Taylor & Francis |
IEEE Intelligent Transportation Systems Magazine | 4.300 | IEEE |
ACM Transactions on Software Engineering and Methodology | 6.2 | ACM |