Información de la conferencia
BigDataService 2025: IEEE International Conference on Big Data Computing Service and Machine Learning Applications
https://conf.researchr.org/track/cisose-2025/bigdataservice-2025
Día de Entrega:
2025-05-01
Fecha de Notificación:
2025-05-26
Fecha de Conferencia:
2025-07-21
Ubicación:
Tucson, Arizona, USA
Años:
11
Vistas: 15829   Seguidores: 12   Asistentes: 2

Solicitud de Artículos
List of Topics (including but not limited to):

Big Data Analytics and Machine Learning

    Algorithms and systems for big data analytics
    Big data Machine learning, predictive and causal analytics
    Visualization and visual analytics systems for big data
    Knowledge modeling, extraction, discovery, analysis, and presentation
    Big data Business intelligence
    Optimization and agentic models for big data
    Artificial intelligence models at scale
    Large language models
    Neuro-symbolic approaches at large scale

Integrated and Distributed Systems

    Sensor networks
    Internet of Things, web of things
    Networking and protocols
    Smart Systems (such as energy efficiency systems, smart homes, smart farms, etc.)

Big Data Platforms and Technologies

    Innovative, concurrent, and scalable big data platforms
    Data indexing, cleaning, transformation, and curation technologies
    Big data processing frameworks and technologies
    Big data services and application development methods and tools
    Big data quality evaluation and assurance technologies
    Big data system reliability, dependability, and availability
    Open-source development and technology for big data
    Big Data as a Service (BDaaS) platform and technologies

Big Data Foundations

    Foundational theoretical or computational models for big data
    Programming models, theories, and algorithms for big data
    Standards, protocols, and quality assurance for big data

Big Data Applications and Experiences

    Innovative big data applications and services in industries and domains e.g. healthcare, finance, insurance, transportation, agriculture, education, environment, multimedia, social networks, urban planning, disaster management, security
    Experiences and case studies of big data applications and services
    Real-world and large-scale practices of big data
Última Actualización Por Dou Sun en 2025-06-07
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