Emergency Resource Planning by Using Spatial Data Association Rule Mining and Linear Programming Method

Spatial attributes are important factors that affect the whole process of emergency events. However, studies on this subject have not sufficiently been carried out. This paper presents a new idea that incorporates spatial predicates describing the spatial relationships between emergency locations an...

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Veröffentlicht in:	2011 Fourth International Joint Conference on Computational Sciences and Optimization S. 613 - 617
Hauptverfasser:	Bo Fan, Jinhong Li
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.04.2011
Schlagworte:	Association rules Educational institutions emergency resource planning Emergency services Geographic Information Systems Linear programming Spatial data association rule Spatial databases weighting mechanism
ISBN:	9781424497126, 1424497124
Online-Zugang:	Volltext
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