- Tytuł:
- Methods for mining co–location patterns with extended spatial objects
- Autorzy:
-
Bembenik, R.
Jóźwicki, W.
Protaziuk, G. - Powiązania:
- https://bibliotekanauki.pl/articles/330860.pdf
- Data publikacji:
- 2017
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
spatial data mining
colocation patterns
extended objects
dane przestrzenne
eksploracja danych
obiekt rozszerzony - Opis:
- 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.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2017, 27, 4; 681-695
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł