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Top-k Most Incremental Location Selection with Capacity Constraint

  • Yu Sun
  • Jin Huang
  • Yueguo Chen
  • Xiaoyong Du
  • Rui Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7418)

Abstract

Bichromatic reverse nearest neighbor (BRNN) based query uses the number of reverse nearest customers to model the influence of a facility location. The query has great potential for real life applications and receives considerable attentions from spatial database studies. In real world, facilities are inevitably constrained by designed capacities. When the needs of service increase, facilities in those booming areas may suffer from overloading. In this paper, we study a new kind of BRNN related query. It aims at finding most promising candidate locations to increase the overall service quality. To efficiently answer the query, we propose an O(nlogn) algorithm using pruning techniques and spatial indices. To evaluate the efficiency of proposed algorithm, we conduct extensive experiments on both real and synthetic datasets. The results show our algorithm has superior performance over the basic solution.

Keywords

capacity constraint location selection BRNN spatial database 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Yu Sun
    • 1
  • Jin Huang
    • 2
  • Yueguo Chen
    • 3
  • Xiaoyong Du
    • 1
    • 3
  • Rui Zhang
    • 2
  1. 1.School of InformationRenmin University of ChinaBeijingChina
  2. 2.University of MelbourneMelbourneAustralia
  3. 3.Key Laboratory of Data Engineering and Knowledge EngineeringRenmin University of China, MOEChina

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