TY  - CONF
ID  - scholars142
TI  - Mining sequence of event from vector-based spatiotemporal database
SP  - 49
KW  - Data mining; Geographic information systems; Information management; Vectors
KW  -  Neighborhood graphs; ROad traffics; Sequence of events; Spatial databases; Spatial datums; Spatial relationship; Spatiotemporal; Spatiotemporal data minings; Spatiotemporal databases; Vector representations
KW  -  Database systems
N1  - 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
N2  - 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.
AV  - none
CY  - Kuala Lumpur
EP  - 54
A1  - Widodo, B.Y.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-57949117269&doi=10.1109%2fICIAS.2007.4658346&partnerID=40&md5=d5f09a85af26f8fb4a394d96516e7799
SN  - 1424413559; 9781424413553
Y1  - 2007///
ER  -