Discovering meaningful patterns for tropical climate change in Malaysia

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dc.contributor.authorGhassan Saleh Al-Dharhani
dc.contributor.authorZulaiha Ali Othman
dc.contributor.authorAzuraliza Abu Bakar
dc.contributor.authorSharifah Mastura Syed Abdullah
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-20T07:34:04Z
dc.date.available2024-05-20T07:34:04Z
dc.date.issued2018
dc.description.abstractThis 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.
dc.identifier.citationAl-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.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/1620
dc.language.isoen
dc.publisherInderscience Enterprises Ltd
dc.publisher.alternativeInternational Journal of Global Warming
dc.subjecttime series
dc.subjectsymbolic data representation
dc.subjectclimate shapelet patterns
dc.subjectfuzzy logic
dc.subjectclimate change
dc.subjectMalaysia.
dc.titleDiscovering meaningful patterns for tropical climate change in Malaysia
dc.typeJournal

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