Methods for mining co–location patterns with extended spatial objects
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13. Jan. 2018
Über diesen Artikel
Online veröffentlicht: 13. Jan. 2018
Seitenbereich: 681 - 695
Eingereicht: 06. Dez. 2016
Akzeptiert: 09. Aug. 2017
DOI: https://doi.org/10.1515/amcs-2017-0047
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© by Robert Bembenik
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
The paper discusses various approaches to mining co-location patterns with extended spatial objects. We focus on the properties of transaction-free approaches EXCOM and DEOSP, and discuss the differences between the method using a buffer and that employing clustering and triangulation. These theoretical differences between the two methods are verified experimentally. In the performed tests three different implementations of EXCOMare compared with DEOSP, highlighting the advantages and downsides of both approaches.