会议信息

BigDataService 2025: IEEE International Conference on Big Data Computing Service and Machine Learning Applications

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截稿日期:
2025-05-01
通知日期:
2025-05-26
会议日期:
2025-07-21
会议地点:
Tucson, Arizona, USA
届数:
11
浏览: 21234   关注: 12   参加: 2

征稿

BigDataService 2025 (IEEE International Conference on Big Data Computing Service and Machine Learning Applications) is an academic conference held in Tucson, Arizona, USA on 2025-07-21. The paper submission deadline is 2025-05-01. Acceptance notifications are sent on 2025-05-26.

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
由 Dou Sun 最后更新于

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相关期刊

CCF全称影响因子出版商ISSN
bMachine Learning2.9Springer0885-6125
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
bIEEE Transactions on Multimedia9.7IEEE1520-9210
cKnowledge-Based Systems7.2Elsevier0950-7051
bSoftware & Systems Modeling3.2Springer1619-1366
aIEEE Transactions on Computers3.8IEEE0018-9340
cFuture Generation Computer Systems6.1Elsevier0167-739X
cNeurocomputing6.5Elsevier0925-2312
cPattern Recognition Letters3.9Elsevier0167-8655

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