Research Repository

Big data analytics: Computational intelligence techniques and application areas

Iqbal, R and Doctor, F and More, B and Mahmud, S and Yousuf, U (2020) 'Big data analytics: Computational intelligence techniques and application areas.' Technological Forecasting and Social Change, 153. p. 119253. ISSN 0040-1625

1s0S0040162517318498main.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (337kB) | Preview


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.

Item Type: Article
Uncontrolled Keywords: Smart city; Big data; Big data analytics; Computational intelligence; CI applications
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 19 Oct 2018 13:47
Last Modified: 15 Jan 2022 01:23

Actions (login required)

View Item View Item