Discovering meaningful patterns for tropical climate change in Malaysia
by Ghassan Saleh Al-Dharhani; Zulaiha Ali Othman; Azuraliza Abu Bakar; Sharifah Mastura Syed Abdullah
International Journal of Global Warming (IJGW), Vol. 15, No. 2, 2018

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.

Online publication date: Mon, 02-Jul-2018

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