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首页> 外文期刊>IEEE transactions on industrial informatics >Guest Editorial: Special Section on Cognitive Big Data Science Over Intelligent IoT Networking Systems in Industrial Informatics
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Guest Editorial: Special Section on Cognitive Big Data Science Over Intelligent IoT Networking Systems in Industrial Informatics

机译:嘉宾社论:在工业信息学智能物联网网络系统中的认知大数据科学专题部分

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摘要

The new frontier research era and convergence of cognitive data science methods and models with reference to the Internet of Things (IoT) and big data systems have brought about various challenges in industrial systems that need to be addressed in the current scenario. Cognitive science will lead to a high level of fluidity to analytics. This special section aims to explore the domain knowledge and reasoning of data science technologies and cognitive methods with the IoT over the big data systems. Data science techniques have been adopted to improve the IoT in terms of data throughput, optimization, and management, and to have a major impact on the future of IoT networking systems. The main focus is the design of best cognitive embedded data science technologies to process and analyze the large amount of data collected through industrial IoT systems and help for good decision making.
机译:新的前沿研究时代和认知数据科学方法和模型的融合,参考事物互联网(IOT)和大数据系统在当前情景中需要解决的工业系统中带来了各种挑战。认知科学将导致分析的高水平流动性。本特别部分旨在探讨数据科学技术的域知识和推理与大数据系统的IOT数据科学技术和认知方法。已经采用数据科学技术在数据吞吐量,优化和管理方面改善了IOT,并对IoT网络系统的未来产生了重大影响。主要重点是设计最佳认知嵌入式数据科学技术的设计,处理和分析通过工业物联网系统收集的大量数据,并有助于良好的决策。

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