Title: Discovering meaningful patterns for tropical climate change in Malaysia

Authors: Ghassan Saleh Al-Dharhani; Zulaiha Ali Othman; Azuraliza Abu Bakar; Sharifah Mastura Syed Abdullah

Addresses: Data Mining and Optimization Group, Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Malaysia ' Data Mining and Optimization Group, Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Malaysia ' Data Mining and Optimization Group, Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Malaysia ' Institute of Climate Change, Universiti Kebangsaan Malaysia, Malaysia

Abstract: This paper investigated patterns of climate change in Malaysia and proposed a fuzzy based symbolic data representation known as a shapelet patterns algorithm (SPA). The Shapelet Pattern visualise climate change patterns in the form of coloured shapes to indicate annual changes in temperature patterns. The experiment used climate change data collected from four stations in Malaysia, Petaling-jaya, Subang, KLIA-Sepang and University Malaya, to produce three types of results. The results revealed various climate change patterns that can be used by climate change experts to further analyse the effects of climate change and for better decision making.

Keywords: time series; symbolic data representation; climate shapelet patterns; fuzzy logic; climate change; Malaysia.

DOI: 10.1504/IJGW.2018.092900

International Journal of Global Warming, 2018 Vol.15 No.2, pp.157 - 174

Received: 25 Apr 2016
Accepted: 06 Mar 2017

Published online: 02 Jul 2018 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article