Mis-Iot: Modular Intelligent Server Based Internet of Things Framework With Big Data and Machine Learning
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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
Ieee
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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
ORCID
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
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
8
Source
IEEE International Conference on Big Data (Big Data) -- DEC 10-13, 2018 -- Seattle, WA
Volume
Issue
Start Page
2270
End Page
2279
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Citations
CrossRef : 4
Scopus : 10
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Mendeley Readers : 36
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