International Journal of applied mathematics and computer science

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Paper details

Number 4 - December 2017
Volume 27 - 2017

Methods for mining co–location patterns with extended spatial objects

Robert Bembenik, Wiktor Jóźwicki, Grzegorz Protaziuk

Abstract
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 EXCOM are compared with DEOSP, highlighting the advantages and downsides of both approaches.

Keywords
spatial data mining, co-location patterns, extended objects

DOI
10.1515/amcs-2017-0047