Discovering meaningful patterns for tropical climate change in Malaysia
Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
Inderscience Enterprises Ltd
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.
Description
Keywords
time series, symbolic data representation, climate shapelet patterns, fuzzy logic, climate change, Malaysia.
Citation
Al-Dharhani, G. S., Othman, Z. A., Bakar, A. A., & Abdullah, S. M. S. (2018). Discovering meaningful patterns for tropical climate change in Malaysia. International Journal of Global Warming, 15(2), 157-174.