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Smart city big data analytics: An advanced review

Soomro, Kamran; Bhutta, Muhammad Nasir Mumtaz; Khan, Zaheer; Tahir, Muhammad A.

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Authors

Profile image of Kamran Soomro

Dr Kamran Soomro Kamran.Soomro@uwe.ac.uk
Associate Professor of Artificial Intelligence

Muhammad Nasir Mumtaz Bhutta

Zaheer Khan Zaheer2.Khan@uwe.ac.uk
Professor in Computer Science

Muhammad A. Tahir



Abstract

© 2019 Wiley Periodicals, Inc. With the increasing role of ICT in enabling and supporting smart cities, the demand for big data analytics solutions is increasing. Various artificial intelligence, data mining, machine learning and statistical analysis-based solutions have been successfully applied in thematic domains like climate science, energy management, transport, air quality management and weather pattern analysis. In this paper, we present a systematic review of the literature on smart city big data analytics. We have searched a number of different repositories using specific keywords and followed a structured data mining methodology for selecting material for the review. We have also performed a technological and thematic analysis of the shortlisted literature, identified various data mining/machine learning techniques and presented the results. Based on this analysis we also present a classification model that studies four aspects of research in this domain. These include data models, computing models, security and privacy aspects and major market drivers in the smart cities domain. Moreover, we present a gap analysis and identify future directions for research. For the thematic analysis we identified the themes smart city governance, economy, environment, transport and energy. We present the major challenges in these themes, the major research work done in the field of data analytics to address these challenges and future research directions. This article is categorized under: Application Areas > Government and Public Sector Fundamental Concepts of Data and Knowledge > Big Data Mining.

Journal Article Type Review
Acceptance Date Apr 25, 2019
Online Publication Date Jun 19, 2019
Publication Date 2019-10
Deposit Date Apr 26, 2019
Publicly Available Date Jun 20, 2020
Journal Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Electronic ISSN 1942-4795
Publisher Wiley
Peer Reviewed Not Peer Reviewed
Volume 9
Issue 5
Article Number e1319
DOI https://doi.org/10.1002/widm.1319
Keywords data mining, big data analytics, smart cities
Public URL https://uwe-repository.worktribe.com/output/848146
Publisher URL https://doi.org/10.1002/widm.1319
Contract Date Apr 26, 2019

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Copyright Statement
This is the peer reviewed version of the following article: [Soomro, K. , Bhutta, N. , Khan, Z. and Tahir, M. A. (2019) Smart city big data analytics: An advanced review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. ISSN 1942-4795], which has been published in final form at https://doi.org/10.1002/widm.1319. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.






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