Mining sequence of event from vector-based spatiotemporal database

Author

Widodo, Barkah Yusuf

Author_Institution

Dept. of Comput. & Inf. Sci., Univ. Teknol. Petronas, Perak

fYear

2007

fDate

25-28 Nov. 2007

Firstpage

49

Lastpage

54

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICIAS.2007.4658346

Filename

4658346