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IEEE 2023 : Big Data IEEE 2023 | |||||||||||
Link: https://ieeebigdataservice.com/ | |||||||||||
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Call For Papers | |||||||||||
Topics of Interest (Including but not limited to)
Big Data Analytics and Machine Learning Algorithms and systems for big data search and analytics Machine learning for big data and based on big data Predictive analytics and simulation Visualization systems for big data Knowledge extraction, discovery, analysis, and presentation Integrated and Distributed Systems Sensor networks Internet 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 Particular attention will be dedicated to the following special topics: Special Topic 1: Real-time Big Data Services and Applications Models, algorithms, and technologies for real-time big data services and applications Experiences, practices and case studies of real-time big data services and applications Special Topic 2: Big Data Security, Privacy, Trust, and Sustainability Models, algorithms and technologies for big data security and privacy Attacks and defenses for big data services Privacy-preserving processing of big data and Big Data for Security and Privacy Analysis Energy-aware big data storage, transfer, and usage AI-continuum (e.g., cloud, edge, sensors) for sustainable big data services Special Topic 3: Big Data and Analytics for Healthcare Models, algorithms, and technologies of big data for healthcare Big data services and applications for healthcare Experiences, practices, and case studies of big data technologies for healthcare |
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