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Skyline Trips of Multiple POIs Categories

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Database Systems for Advanced Applications (DASFAA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9050))

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Abstract

In this paper, we introduce a new interesting path finding problem, which is the Skyline Trips of Multiple POIs Categories (STMPC) query. In particular, given a road network with a set of Points of Interest (POIs) from different categories, a list of items the user is planning to purchase and a pricing function for items at each related POI; find the skyline trips in term of both trip length and trip aggregated cost. This query has important applications in everyday life. Specifically, it assists people to choose the most suitable trips among the skyline trips based on two dimensions; trip total length and trip aggregated cost. We prove the problem is NP-hard and we distinguish it from existing related problems. We also proposed a framework and two effective algorithms to efficiently solve the STMPC query in real time and produce near optimal results when tested on real datasets.

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Author information

Authors and Affiliations

  1. Department of Computing and Information Systems, The University of Melbourne, Melbourne, Australia

    Saad Aljubayrin & Rui Zhang

  2. Department of Computer Science and Computer Engineering, Latrobe University, Melbourne, Australia

    Zhen He

Authors
  1. Saad Aljubayrin
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  2. Zhen He
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  3. Rui Zhang
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Corresponding author

Correspondence to Saad Aljubayrin .

Editor information

Editors and Affiliations

  1. Universität München, München, Germany

    Matthias Renz

  2. University of Southern California, Los Angeles, USA

    Cyrus Shahabi

  3. University of Queensland, Brisbane, Australia

    Xiaofang Zhou

  4. Monash University, Clayton, Australia

    Muhammad Aamir Cheema

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© 2015 Springer International Publishing Switzerland

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Aljubayrin, S., He, Z., Zhang, R. (2015). Skyline Trips of Multiple POIs Categories. In: Renz, M., Shahabi, C., Zhou, X., Cheema, M. (eds) Database Systems for Advanced Applications. DASFAA 2015. Lecture Notes in Computer Science(), vol 9050. Springer, Cham. https://doi.org/10.1007/978-3-319-18123-3_12

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  • DOI: https://doi.org/10.1007/978-3-319-18123-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18122-6

  • Online ISBN: 978-3-319-18123-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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