Data mining in internet of things systems : a literature review

Author

Sarhan, Amani M.

Source

Journal of Engineering Research

Issue

Vol. 6, Issue 5 (31 Dec. 2022), pp.252-262, 11 p.

Publisher

Tanta University Faculty of Engineering

Publication Date

2022-12-31

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Information Technology and Computer Science

Topics

Abstract EN

The internet of things (IOT) and cloud technologies have been the main focus of recent research, allowing for the accumulation of a vast amount of data generated from this diverse environment.

these data include without any doubt priceless knowledge if could correctly discovered and correlated in an efficient manner.

data mining algorithms can be applied to the internet of things (IOT) to extract hidden information from the massive amounts of data that are generated by IOT and are thought to have high business value.

in this paper, the most important data mining approaches covering classification, clustering, association analysis, time series analysis, and outlier analysis from the knowledge will be covered.

additionally, a survey of recent work in in this direction is included.

American Psychological Association (APA)

Sarhan, Amani M.. 2022. Data mining in internet of things systems : a literature review. Journal of Engineering Research،Vol. 6, no. 5, pp.252-262.
https://search.emarefa.net/detail/BIM-1454563

Modern Language Association (MLA)

Sarhan, Amani M.. Data mining in internet of things systems : a literature review. Journal of Engineering Research Vol. 6, no. 5 (Dec. 2022), pp.252-262.
https://search.emarefa.net/detail/BIM-1454563

American Medical Association (AMA)

Sarhan, Amani M.. Data mining in internet of things systems : a literature review. Journal of Engineering Research. 2022. Vol. 6, no. 5, pp.252-262.
https://search.emarefa.net/detail/BIM-1454563

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 260-262

Record ID

BIM-1454563