Big data analytics: Computational intelligence techniques and application areas

Rahat Iqbal; Faiyaz Doctor; Brian More; Shahid Mahmud; Usman Yousuf

doi:10.1016/j.techfore.2018.03.024

Big data analytics: Computational intelligence techniques and application areas

Rahat Iqbal, Faiyaz Doctor, Brian More, Shahid Mahmud, Usman Yousuf

Faculty of Engineering, Environment & Computing

Research output: Contribution to journal › Article › peer-review

96 Citations (Scopus)

543 Downloads (Pure)

Abstract

Big Data has significant impact in developing functional smart cities and supporting modern societies. In this paper, we investigate the importance of Big Data in modern life and economy, and discuss challenges arising from Big Data utilization. Different computational intelligence techniques have been considered as tools for Big Data analytics. We also explore the powerful combination of Big Data and Computational Intelligence (CI) and identify a number of areas, where novel applications in real world smart city problems can be developed by utilizing these powerful tools and techniques. We present a case study for intelligent transportation in the context of a smart city, and a novel data modelling methodology based on a biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (HSTSM). We further discuss various implications of policy, protection, valuation and commercialization related to Big Data, its applications and deployment.

Original language	English
Article number	119253
Journal	Technological Forecasting and Social Change
Volume	153
Early online date	24 Apr 2018
DOIs	https://doi.org/10.1016/j.techfore.2018.03.024
Publication status	Published - Apr 2020

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Technological Forecasting and Social Change. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Technological Forecasting and Social Change, [in-press], (2018) DOI: 10.1016/j.techfore.2018.03.024

© 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

Big data
Big data analytics
CI applications
Computational intelligence
Smart city

ASJC Scopus subject areas

Business and International Management
Applied Psychology
Management of Technology and Innovation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.techfore.2018.03.024

Post-PrintAccepted author manuscript, 845 KBLicence: CC BY-NC-ND

Cite this

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abstract = "Big Data has significant impact in developing functional smart cities and supporting modern societies. In this paper, we investigate the importance of Big Data in modern life and economy, and discuss challenges arising from Big Data utilization. Different computational intelligence techniques have been considered as tools for Big Data analytics. We also explore the powerful combination of Big Data and Computational Intelligence (CI) and identify a number of areas, where novel applications in real world smart city problems can be developed by utilizing these powerful tools and techniques. We present a case study for intelligent transportation in the context of a smart city, and a novel data modelling methodology based on a biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (HSTSM). We further discuss various implications of policy, protection, valuation and commercialization related to Big Data, its applications and deployment.",

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Big data analytics: Computational intelligence techniques and application areas

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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