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 propose Neighborhood graph as dasiadrop-inpsila replacement for relationship operator in FlowMiner. We present here the result from experimenting with real life dataset consisting of road traffic data.