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Generalized Vicinity Query Algorithm in Road Network Distance

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dc.contributor.author Ohsawa, Yutaka
dc.contributor.author Htoo, Htoo
dc.contributor.author Sein, Myint Myint
dc.date.accessioned 2019-07-03T04:41:19Z
dc.date.available 2019-07-03T04:41:19Z
dc.date.issued 2016-02-25
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/210
dc.description.abstract Vicinity queries include set k nearest neighbor (SetkNN) query, ordered k nearest neighbor (OrderkNN) query, bi-chromatic reverse nearest neighbor (BRkNN) query and distance range query. In existing approaches, each type of queries has been individually studied because they are different in query criteria. Moreover, these types of queries take long processing time in calculating road network distances. To improve in the efficiency, this paper proposes vicinity query algorithm based on the higher-order network Voronoi region (NVR) which gives a unified procedure to run these different queries in an integrated framework although the query criteria of all individuals differ from each query type. Through extensive experiments, the proposed method significantly outperforms the existing works in terms of processing time by nearly two orders of magnitude. en_US
dc.language.iso en en_US
dc.publisher Fourteenth International Conference On Computer Applications (ICCA 2016) en_US
dc.title Generalized Vicinity Query Algorithm in Road Network Distance en_US
dc.type Article en_US


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