Data mining in internet of things systems : a literature review
Author
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