Mis-Iot: Modular Intelligent Server Based Internet of Things Framework With Big Data and Machine Learning
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Green Open Access
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Abstract
Internet of Things world is getting bigger everyday with new developments in all fronts. The new IoT world requires better handling of big data and better usage with more intelligence integrated in all phases. Here we present MIS-IoT (Modular Intelligent Server Based Internet of Things Framework with Big Data and Machine Learning) framework, which is "modular" and therefore open for new extensions, "intelligent" by providing machine learning and deep learning methods on "big data" coming from IoT objects, "server-based" in a service-oriented way by offering services via standart Web protocols. We present an overview of the design and implementation details of MIS-IoT along with a case study evaluation of the system, showing the intelligence capabilities in anomaly detection over real-time weather data.
Description
Baidu; et al.; Expedia Group; IEEE; IEEE Computer Society; Squirrel AI Learning
Ozbayoglu, Murat/0000-0001-7998-5735
Ozbayoglu, Murat/0000-0001-7998-5735
Keywords
Internet Of Things, Machine Learning, Big Data Analytics, Anomaly Detection, Fault Detection, Internet of things, machine learning, big data analytics, anomaly detection, fault detection
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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OpenCitations Citation Count
8
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2270
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2279
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CrossRef : 4
Scopus : 12
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2
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