Información de la conferencia
ICBDA'' 2022: International Congress on Big Data & Analytics
https://intcongress.com/international-congress-on-big-data-analytics-2022/
Día de Entrega:
2022-07-10
Fecha de Notificación:
Fecha de Conferencia:
2022-08-11
Ubicación:
Hong Kong, China
Vistas: 5304   Seguidores: 1   Asistentes: 0

Solicitud de Artículos
The purpose of ICBDA 2022 is to bring together researchers, mathematicians, engineers, and practitioners interested in various aspects related to Big Data & Analytics.
 
The papers will be made to appear in a book to be published by ASDF HQ, India in EDLIB (www.edlib.net). All the published papers will be indexed by Google Scholar and various other search engines.
 
Conference Topics

Algorithms and Programming Techniques for Big Data Processing
Big Data Analytics and Metrics
Representation Formats for Multimedia Big Data
Foundational Models for Big Data
Cloud Computing Techniques for Big Data
Big Data as a Service
Big Data Open Platforms
Big Data in Mobile and Pervasive Computing
Big Data Persistence and Preservation
Big Data Quality and Provenance Control
Big Data in Enterprise Management Models and Practices
Management Issues of Social Network Big Data
Models and Languages for Big Data Protection
Privacy-Preserving Big Data Analytics
Big Data Encryption
Collaborative Threat Detection using Big Data Analytics
Anomaly Detection in Very Large-Scale Systems
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 in Smart Planet Solutions
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 for Enterprise Transformation
Última Actualización Por Dou Sun en 2021-09-21
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