Title :
Mining sequence of event from vector-based spatiotemporal database
Author :
Widodo, Barkah Yusuf
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. Teknol. Petronas, Perak
Abstract :
In this paper, we propose VectoFlowMiner, an extension to FlowMiner, a spatiotemporal data mining algorithm. FlowMiner, are targeted for mining from raster-based spatial data. Most GIS (geographic information system) however, requires, process, and stores spatial data in vector representation. We propose Neighborhood graph as dasiadrop-inpsila replacement for relationship operator in FlowMiner. We present here the result from experimenting with real life dataset consisting of road traffic data.
Keywords :
data mining; geographic information systems; graph theory; temporal databases; FlowMiner; VectoFlowMiner; event sequence mining; geographic information system; neighborhood graph; spatiotemporal data mining algorithm; vector representation; vector-based spatiotemporal database; Costs; Data mining; Database systems; Deductive databases; Fires; Geographic Information Systems; Intelligent systems; Spatial databases; Spatiotemporal phenomena; Data mining; spatial databases; spatial relationship; spatiotemporal;
Conference_Titel :
Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-1355-3
Electronic_ISBN :
978-1-4244-1356-0
DOI :
10.1109/ICIAS.2007.4658346
