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OptiLocator: Discovering Optimum Location for a Business Using Spatial Co-location Mining and Spatio-Temporal Data

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Foundations of Intelligent Systems (ISMIS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10352))

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Abstract

The issue presented in the paper concerns methods allowing to pinpoint an optimum location for a given business. As long as business is based on brick-and-mortar location and real customers (as opposed to businesses available online) the location is a crucial factor contributing to the business’ success. To this end we propose a method named OptiLocator based on spatial co-location mining and measures utilizing spatio-temporal aspects of social data related to the urban space under investigation that computes the optimum location for a business of a given type. The resulting recommendation concerning business localization is based on the neighborhoods of popular places similar to the business we plan to localize in the city.

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Notes

  1. 1.

    Foursquare API, https://developer.foursquare.com.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

    Robert Bembenik, Jacek Szwaj & Grzegorz Protaziuk

Authors
  1. Robert Bembenik
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  2. Jacek Szwaj
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  3. Grzegorz Protaziuk
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Corresponding author

Correspondence to Robert Bembenik .

Editor information

Editors and Affiliations

  1. Warsaw University of Technology, Warsaw, Poland

    Marzena Kryszkiewicz

  2. University of Bari Aldo Moro, Bari, Italy

    Annalisa Appice

  3. Institute of Informatics, University of Warsaw, Warsaw, Poland

    Dominik Ślęzak

  4. Faculty of Electronics & Information, Warsaw University of Technology, Warsaw, Poland

    Henryk Rybinski

  5. Institute of Mathematics, Warsaw University, Warsaw, Poland

    Andrzej Skowron

  6. Department of Computer Science, University of North Carolina at Charlotte, North Carolina, USA

    Zbigniew W. RaĹ›

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Bembenik, R., Szwaj, J., Protaziuk, G. (2017). OptiLocator: Discovering Optimum Location for a Business Using Spatial Co-location Mining and Spatio-Temporal Data. In: Kryszkiewicz, M., Appice, A., Ślęzak, D., Rybinski, H., Skowron, A., Raś, Z. (eds) Foundations of Intelligent Systems. ISMIS 2017. Lecture Notes in Computer Science(), vol 10352. Springer, Cham. https://doi.org/10.1007/978-3-319-60438-1_34

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  • DOI: https://doi.org/10.1007/978-3-319-60438-1_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60437-4

  • Online ISBN: 978-3-319-60438-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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