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A Granular Approach to Analyze Spatiotemporal Data

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.