A Grid-based Spatial Association Mining Method
The Grid is a distributed computing infrastructure that supports the sharing and coordinated use of various resources in virtual organizations. The Grid can be used for compute intensive tasks and data intensive applications. Data mining algorithms are intensive compute and data, and spatial data are heterogeneous, multidimensional and stored at various places. Therefore, the Grid can provide a computing and data management platform for spatial data. In this paper, a Grid-based spatial association mining method, Grid-based spatial Apriori algorithm (GSAA),is presented to find hidden relations and regularities in the grid framework. The main thoughts of GSAA are described We adopt GSAA in a traffic information system. It discovers the inherent connections and relative factors, and finds the causes of traffic accidents and the places where the traffic accidents often take place. It proves to improve the traffic conditions of cities in the grid framework effectively.
Xiaohui Zhao Yu Fang
Institute of Remote Sensing and Geographic Information Systems, Peking University, China
国际会议
第六届网格与协同计算国际会议(The Sixth International Conference on Grid and Cooperative Computing GCC 2007)
乌鲁木齐
英文
600-607
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）