Abstract
This paper proposes a bichromatic homogeneous vicinity query method and its efficient algorithm. Several query algorithms have been proposed individually including set k nearest neighbor (NN) query, ordered NN query, bichromatic reverse k NN query, and distance range query. When these types of queries are performed in the road network distance, all take long processing time. The algorithm proposed in this paper gives a unified procedure that can be applied to these queries with a different query condition for each, and it reduces the processing time drastically. The basic idea of the algorithm is to expand the region on the road network gradually while verifying the query condition. It is the most time consuming process, and to improve the deficiency in verification step, an efficient road network distance search method is proposed. Through extensive experiments, the proposed algorithm significantly improves the performance in terms of processing time by nearly two orders of magnitude.
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© 2015 Springer International Publishing Switzerland
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Ohsawa, Y., Htoo, H., Nyunt, N.J., Sein, M.M. (2015). Generalized Bichromatic Homogeneous Vicinity Query Algorithm in Road Network Distance. In: Morzy, T., Valduriez, P., Bellatreche, L. (eds) New Trends in Databases and Information Systems. ADBIS 2015. Communications in Computer and Information Science, vol 539. Springer, Cham. https://doi.org/10.1007/978-3-319-23201-0_8
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DOI: https://doi.org/10.1007/978-3-319-23201-0_8
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