Data mining in internet of things systems : a literature review

المؤلف

Sarhan, Amani M.

المصدر

Journal of Engineering Research

العدد

المجلد 6، العدد 5 (31 ديسمبر/كانون الأول 2022)، ص ص. 252-262، 11ص.

الناشر

جامعة طنطا كلية الهندسة

تاريخ النشر

2022-12-31

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 260-262

رقم السجل

BIM-1454563