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INTEGRATION OF CLOUD AND PARALLEL COMPUTATIONS WITH EFFICIENCY OF DATA MINING AND INTERNET OF THINGS BASED ON PRINCIPLES OF WEB TECHNOLOGY AND DISTRIBUTED SYSTEMS

FAIROZ Q. KAREEM 1, NAJI ABDULLAH MAJEDKAN ABDULLAH 2, ZRYAN NAJAT RASHID 3, YOUSIF SUFYAN JGHEF 4, TEBA MOHAMMED GHAZI SAMI 5, and NISREEN LUQMAN ABDULNABI 6.

Vol 18, No 01 ( 2023 )   |  DOI: 10.17605/OSF.IO/3QRVX   |   Author Affiliation: Energy Engineering Department Technical College of Engineering, Duhok Polytechnic University, Duhok, Iraq 1; Business Administration Department Akre Technical College, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq 2; Computer Network Department Technical College of Informatics, Sulaimani Polytechnic University, Sulaimani, Iraq 3; Computer Engineering Department College of Engineering, Knowledge University, Erbil, Iraq 4; Computer Science Department Faculty of Science, University of Zakho, Duhok, Iraq 5; Business Administration Department Technical College of Administration, Duhok Polytechnic University, Duhok, Iraq 6.   |   Licensing: CC 4.0   |   Pg no: 1639-1689   |   Published on: 27-01-2023

Abstract

Many analysis technologies are being incorporated into IoT in order to make it smarter; one of the most significant technologies is data mining. Data mining is the process of extracting hidden information from big data sets and identifying new, interesting, and potentially relevant patterns. Connecting everything on the planet through the internet may seem unattainable, but the “IoT” will drastically alter our lives in the near future by making many impossible attainable. In this paper the Internet of Things (IoT) is discussed first in this article. The features of data from IoT and data mining for IoT which is consists of classification, clustering and frequent patterns are then briefly reviewed. Finally, this article discussed and concluded the data mining applications with internet of things (IoT).


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