- Tytuł:
- A Review on Data Mining Algorithms for Internet of Things
- Autorzy:
-
Bhuvaneswari, M.
Jeba, K. Merlin
Srividhya, V. - Powiązania:
- https://bibliotekanauki.pl/articles/1193586.pdf
- Data publikacji:
- 2016
- Wydawca:
- Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
- Tematy:
-
Association Rule
Classification
Clustering
Internet of things
IoT
IoT applications - Opis:
- The fields of computer science and electronics have merged to result into one of the most notable technological advances in the form of realization of the Internet of Things (IoT). Internet of Things (IoT) is an innovative idea which will transform the real world objects into intelligent virtual objects in the near future. Nowadays internets of things are generating an enormous data, that data are applied in data mining to extract the knowledge. To many, the massive data generated or captured by IoT are considered having highly useful and valuable information. Some data mining algorithms are used to analyze the potential data in internet of things.This paper begins with a discussion of the IoT and then, it describes about three data mining algorithms such as clustering, classification, and association rules. At last the application areas of Internet of things are discussed in this paper.
- Źródło:
-
World Scientific News; 2016, 41; 267-274
2392-2192 - Pojawia się w:
- World Scientific News
- Dostawca treści:
- Biblioteka Nauki
Artykuł