SPATIAL CO-LOCATION RULE MINING RESEARCH IN CONTINUOUS DATA

摘要：

Finding the co-location patterns for spatial data is a challenging problem in spatial databases. While previous work focused on the discovery of co-location patterns for categorical data, we present a novel method that finds co-location patterns in spatial continuous data. Our algorithm mines the co-location patterns for continuous data by using a multi-layer index and neighbor domain set which resembles with item-set of transactions in classical data mining. We conduct experiments with the fire data and the results indicate that the new algorithm is very effective.

关键词： Co-location Continuous data Multi-layer index Spatial data mining

作者: ZHAN-QUAN WANG HAI-BO CHEN HUI-QUN YU

作者单位: Department of Computer Science and Engineering, East China University of Science and Technology,Shan Science College, Zhejiang Sci-tech University, Hangzhou 310018, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 1362-1367

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）