@inproceedings{scholars142,
            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},
            year = {2007},
             doi = {10.1109/ICIAS.2007.4658346},
         journal = {2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007},
           title = {Mining sequence of event from vector-based spatiotemporal database},
         address = {Kuala Lumpur},
           pages = {49--54},
            isbn = {1424413559; 9781424413553},
          author = {Widodo, B. Y.},
        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. {\^A}{\copyright}2007 IEEE.},
        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},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-57949117269&doi=10.1109\%2fICIAS.2007.4658346&partnerID=40&md5=d5f09a85af26f8fb4a394d96516e7799}
}