eprintid: 142
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/01/42
datestamp: 2023-11-09 15:15:47
lastmod: 2023-11-09 15:15:47
status_changed: 2023-11-09 15:13:24
type: conference_item
metadata_visibility: show
creators_name: Widodo, B.Y.
title: Mining sequence of event from vector-based spatiotemporal database
ispublished: pub
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
note: cited By 0; Conference of 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007 ; Conference Date: 25 November 2007 Through 28 November 2007; Conference Code:74506
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.
date: 2007
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-57949117269&doi=10.1109%2fICIAS.2007.4658346&partnerID=40&md5=d5f09a85af26f8fb4a394d96516e7799
id_number: 10.1109/ICIAS.2007.4658346
full_text_status: none
publication: 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007
place_of_pub: Kuala Lumpur
pagerange: 49-54
refereed: TRUE
isbn: 1424413559; 9781424413553
citation:   Widodo, B.Y.  (2007) Mining sequence of event from vector-based spatiotemporal database.  In: UNSPECIFIED.