A Granular Approach to Analyze Spatiotemporal Data

Abstract:

Spatiotemporal data are widely visible in everyday life. This paper proposes an algorithm to represent them in a granular wayinformation granules. Information granules can be regarded as a collection of conceptual landmarks using which people can view the data and describe them in a semantic way. The key objective of this paper is to introduce a new granular way of data analysis through their granulation. Several experiments are done with synthetic data and the results show a clear way how our algorithm performs.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 2876-2879
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.2876
• Online since: August 2013
• Authors: Ming Li Song, Shu Juan Wang
• Keywords: FCM, Granular Descriptor, Information Granules, Spatiotemporal Data

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