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Methods for mining co–location patterns with extended spatial objects Cover

Methods for mining co–location patterns with extended spatial objects

International Journal of Applied Mathematics and Computer Science
Volume 27 (2017): Issue 4 (December 2017)
By: Robert Bembenik,  Wiktor Jóźwicki and  Grzegorz Protaziuk  
Open Access
|Jan 2018

Authors

Robert Bembenik

R.Bembenik@ii.pw.edu.pl

Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

Wiktor Jóźwicki

w.jozwicki@gmail.com

Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

Grzegorz Protaziuk

G.Protaziuk@ii.pw.edu.pl

Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland
DOI: https://doi.org/10.1515/amcs-2017-0047 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 681 - 695
Submitted on: Dec 6, 2016
Accepted on: Aug 9, 2017
Published on: Jan 13, 2018
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
spatial data mining,
co-location patterns,
extended objects
Related subjects:
Mathematics,
Applied mathematics

© 2018 Robert Bembenik, Wiktor Jóźwicki, Grzegorz Protaziuk, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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