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Mining sequence of event from vector-based spatiotemporal database

B.Y., Widodo (2007) Mining sequence of event from vector-based spatiotemporal database. In: 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007, 25 November 2007 through 28 November 2007, Kuala Lumpur.

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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 'drop-in' replacement for relationship operator in FlowMiner. We present here the result from experimenting with real life dataset consisting of road traffic data. ©2007 IEEE.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Data mining; Geographic information systems; Information management; Vectors; Neighborhood graphs; ROad traffics; Sequence of events; Spatial databases; Spatial datums; Spatial relationship; Spatiotemporal; Spatiotemporal data minings; Spatiotemporal databases; Vector representations; Database systems
Subjects:Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:175
Deposited By: Mr Helmi Iskandar Suito
Deposited On:02 Mar 2010 01:19
Last Modified:19 Jan 2017 08:27

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