دورية أكاديمية

Internet of things and data mining: An application oriented survey

التفاصيل البيبلوغرافية
العنوان: Internet of things and data mining: An application oriented survey
المؤلفون: Priyank Sunhare, Rameez R. Chowdhary, Manju K. Chattopadhyay
المصدر: Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 6, Pp 3569-3590 (2022)
بيانات النشر: Elsevier, 2022.
سنة النشر: 2022
المجموعة: LCC:Electronic computers. Computer science
مصطلحات موضوعية: Internet of things, Data mining, Big data, Smart home, Ambient assistant living, Smart healthcare, Electronic computers. Computer science, QA75.5-76.95
الوصف: Advancement in the fields of electronic communication, data processing, and internet technologies enable easy access to and interaction with a variety of physical devices throughout the globe. Our whole world is enveloped by a blanket of innumerable smart devices equipped with the sensors and actuators. Extensive research on the Internet of things (IoT) with cloud technologies, make it possible to accumulate tremendous data created from this heterogeneous environment and transform it into precious knowledge by utilizing data mining technologies. Furthermore, this generated knowledge will play a key role in intelligent decision making, system performance boosting, and optimum management of resources and services. With this background, this paper presents a systematic and detailed review of various data mining techniques employed in the large and small scale IoT applications to formulate an intelligent environment. It also presents an overview of cloud-assisted IoT Big data mining system to better understand the importance of data mining for an IoT environment.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1319-1578
Relation: http://www.sciencedirect.com/science/article/pii/S131915782030416X; https://doaj.org/toc/1319-1578
DOI: 10.1016/j.jksuci.2020.07.002
URL الوصول: https://doaj.org/article/dbcdf78905df4a41b5422060fc95af96
رقم الأكسشن: edsdoj.bcdf78905df4a41b5422060fc95af96
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:13191578
DOI:10.1016/j.jksuci.2020.07.002