Methods for mining co–location patterns with extended spatial objects
, oraz
13 sty 2018
O artykule
Data publikacji: 13 sty 2018
Zakres stron: 681 - 695
Otrzymano: 06 gru 2016
Przyjęty: 09 sie 2017
DOI: https://doi.org/10.1515/amcs-2017-0047
Słowa kluczowe
© 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.