Methods for mining co–location patterns with extended spatial objects

• Autorzy: Bembenik R. , Jóźwicki W. , Protaziuk G.

Identyfikatory

DOI

10.1515/amcs-2017-0047

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

spatial data mining; colocation patterns; extended objects

PL

dane przestrzenne; eksploracja danych; obiekt rozszerzony

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2017
• Tom: Vol. 27, no. 4
• Strony: 681--695
• Opis fizyczny: Bibliogr. 23 poz., rys., tab., wykr.

Twórcy

autor

Bembenik R.

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

autor

Jóźwicki W.

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

autor

Protaziuk G.

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

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).