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The proliferation of GIS and GPS technology provide huge amount of geo-data in the form of spatio-temporal dataset. With the increased use of mobile devices, end users tend to avail location based services in various contexts. This requires frequent updation of the database and also the development of fast search and optimization techniques. The increasing vehicular traffic in urban sectors leads...
Spatial temporal data mining is highly demanding because of the complexity of huge amount of data collected. Interpreting the spatial data is made easier by the process of visualizing quantitative spatial data leading to the discovery of interesting patterns. To understand the spatial structure of the data, better clustering algorithms are to be used. The purpose of this paper is to investigate the...
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