MIS-IoT: Modular Intelligent Server Based Internet of Things Framework with Big Data and Machine Learning

被引：0
|
作者：
Onal, Aras Can [1 ]
Sezer, Omer Berat [1 ]
Ozbayoglu, Murat [1 ]
Dogdu, Erdogan [2 ,3 ]
机构：
[1] TOBB Univ Econ & Technol, Dept Comp Engn, TR-06560 Ankara, Turkey
[2] Cankaya Univ, Dept Comp Engn, TR-06790 Ankara, Turkey
[3] Georgia State Univ, Atlanta, GA 30302 USA
来源：
2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2018年
关键词：
Internet of things; machine learning; big data analytics; anomaly detection; fault detection;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：2270 / 2279
页数：10
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