Co-location Detector:A System to Find Interesting Spatial Co-locating Relationships

摘要：

　　Data Mining develops from original transactional data to current spatial data,this trend indicates that the data is getting more complex and the mining algorithms require better performances.Co-location patterns describe the subsets of features whose instances are prevalently located together in geographic space.Co-location mining algorithms are to find prevalent (interesting) co-location patterns with some thresholds given by the user.Co-location Detector is a system which improves the join-less algorithm and optimizes some details,it owns friendly interactive interface and good operational experiences,visualizes the co-location patterns for the user to process the next decision,besides,the user can change his input parameters to compare the results in order to mine more valuable information.

关键词： Co-location Join-less User decision Visualize

作者: Xuguang Bao Lizhen Wang Qing Xiao

作者单位: School of Information Science and Engineering,Yunnan University,Kunming,Yunnan,China

会议类型: 国际会议

会议名称: International Asia-Pacific Web Conference(第18届国际亚太互联网大会)

会议地点: 苏州

会议语种:英文

页码: 588-591

在线出版日期: 2016-09-23（万方平台首次上网日期，不代表论文的发表时间）