Dimensions
DimensionsWidodo, B.Y. (2007) Mining sequence of event from vector-based spatiotemporal database. In: UNSPECIFIED.
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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
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 (UNSPECIFIED) |
|---|---|
| Additional Information: | 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 |
| 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 |
| Depositing User: | Mr Ahmad Suhairi UTP |
| Date Deposited: | 09 Nov 2023 15:15 |
| Last Modified: | 09 Nov 2023 15:15 |
| URI: | https://khub.utp.edu.my/scholars/id/eprint/142 |
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