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Nearest Neighborhood Determination Methods with Regard to Mobile Location-Based Application

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 655)

Abstract

The paper concerns nearest neighborhood determination issues. The main goal is to investigate and compare characteristics of popular solutions with regard to applying them to location-based services for mobile devices. Mainly the impact of number of objects and object’s mobility on performance is considered. Also the accuracy dependent on search range was tested. The paper takes into account three groups of approaches: brute-force based solutions, spatial tree structures, and solutions that use Geohash for location encoding. Described simulation experiments was performed for eight popular algorithms and one own approach. The results show very diverse properties of all algorithms and its usefulness for considered area of application.

Keywords

  • Nearest neighborhood
  • Spatial searching
  • Location-based services

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  • DOI: 10.1007/978-3-319-67220-5_32
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Correspondence to Mariusz Fraś .

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Fraś, M., Frącek, P., Waśko, K. (2018). Nearest Neighborhood Determination Methods with Regard to Mobile Location-Based Application. In: Borzemski, L., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017. ISAT 2017. Advances in Intelligent Systems and Computing, vol 655. Springer, Cham. https://doi.org/10.1007/978-3-319-67220-5_32

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  • DOI: https://doi.org/10.1007/978-3-319-67220-5_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67219-9

  • Online ISBN: 978-3-319-67220-5

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