Mining sequence of event from vector-based spatiotemporal database

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 pr...

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Main Author: B.Y., Widodo
Format: Conference or Workshop Item
Language:English
Published: 2007
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/175/
http://scholars.utp.edu.my/id/eprint/175/1/paper.pdf
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author B.Y., Widodo
author_facet B.Y., Widodo
author_sort B.Y., Widodo
building UTP Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-13T07:22:20Z
format Conference or Workshop Item
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institution Universiti Teknologi Petronas
institution_category Local University
language English
last_indexed 2025-11-13T07:22:20Z
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spelling oai:scholars.utp.edu.my:1752017-01-19T08:27:01Z http://scholars.utp.edu.my/id/eprint/175/ Mining sequence of event from vector-based spatiotemporal database B.Y., Widodo Q Science (General) QA75 Electronic computers. Computer science 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. 2007 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/175/1/paper.pdf 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. http://www.scopus.com/inward/record.url?eid=2-s2.0-57949117269&partnerID=40&md5=7619720d361f2217b804f8b402baebff
spellingShingle Q Science (General)
QA75 Electronic computers. Computer science
B.Y., Widodo
Mining sequence of event from vector-based spatiotemporal database
title Mining sequence of event from vector-based spatiotemporal database
title_full Mining sequence of event from vector-based spatiotemporal database
title_fullStr Mining sequence of event from vector-based spatiotemporal database
title_full_unstemmed Mining sequence of event from vector-based spatiotemporal database
title_short Mining sequence of event from vector-based spatiotemporal database
title_sort mining sequence of event from vector-based spatiotemporal database
topic Q Science (General)
QA75 Electronic computers. Computer science
url http://scholars.utp.edu.my/id/eprint/175/
http://scholars.utp.edu.my/id/eprint/175/
http://scholars.utp.edu.my/id/eprint/175/1/paper.pdf