Internet of things and data mining: An application oriented survey
| Autor: | Rameez Raja Chowdhary, Priyank Sunhare, Manju K. Chattopadhyay |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Data processing
General Computer Science Intelligent decision making business.industry Computer science 020206 networking & telecommunications Cloud computing 02 engineering and technology computer.software_genre 0202 electrical engineering electronic engineering information engineering Intelligent environment 020201 artificial intelligence & image processing The Internet Electronic communication Data mining business Internet of Things computer Big data mining |
| Zdroj: | Journal of King Saud University - Computer and Information Sciences. 34:3569-3590 |
| ISSN: | 1319-1578 |
| DOI: | 10.1016/j.jksuci.2020.07.002 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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