A Survey of Data Mining Implementation in Smart City Applications

Zainab Salih Ageed; Subhi  R. M. Zeebaree; Mohammed Mohammed Sadeeq; Shakir  Fattah Kak; Zryan Najat Rashid; Azar  Abid Salih; Wafaa   M. Abdullah

doi:10.48161/qaj.v1n2a52

Authors

Zainab Salih Ageed Translation Dept. Nawroz University Duhok, Iraq
Subhi R. M. Zeebaree Culture Center Duhok Polytechnic University Duhok, Iraq
Mohammed Mohammed Sadeeq Duhok Polytechnic University
Shakir Fattah Kak Information Technology Dept. Duhok Polytechnic University Duhok -Iraq
Zryan Najat Rashid Computer Network Dept. Sulaimani Polytechnic University Sulaimani-Iraq
Azar Abid Salih Information Technology Management Dept. Duhok Polytechnic University Duhok -Iraq
Wafaa M. Abdullah Department of Computer Science, Nawroz University, Duhok, Kurdistan Region - Iraq

DOI:

https://doi.org/10.48161/qaj.v1n2a52

Keywords:

Data Computing, Internet of Things, Data Mining, Smart City, Cloud Computing.

Abstract

Many policymakers envisage using a community model and Big Data technology to achieve the sustainability demanded by intelligent city components and raise living standards. Smart cities use different technology to make their residents more successful in their health, housing, electricity, learning, and water supplies. This involves reducing prices and the utilization of resources and communicating more effectively and creatively for our employees. Extensive data analysis is a comparatively modern technology that is capable of expanding intelligent urban facilities. Digital extraction has resulted in the processing of large volumes of data that can be used in several valuable areas since digitalization is an essential part of daily life. In many businesses and utility domains, including the intelligent urban domain, successful exploitation and multiple data use is critical. This paper examines how big data can be used for more innovative societies. It explores the possibilities, challenges, and benefits of applying big data systems in intelligent cities and compares and contrasts different intelligent cities and big data ideas. It also seeks to define criteria for the creation of big data applications for innovative city services.

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