Ontology-Based Interactive Post-mining of Interesting Co-location Patterns

摘要：

　　Spatial co-location patterns represent the subsets of spatial features whose instances are frequently located together in geographic space.Common frameworks for mining co-location patterns generate numerous redundant colocation patterns.Thus,several methods were proposed to overcome this drawback.However,most of these methods do not guarantee that the extracted colocation patterns are interesting for the user because they are generally based on statistical information.Thus,it is crucial to help the decision-maker choose interesting co-location patterns with an efficient interactive procedure.This paper proposed an interactive approach to prune and filter discovered co-location patterns.First,ontologies were used to improve the integration of user knowledge.Second,an interactive process was designed to collaborate with the user to find the interesting co-location patterns efficiently.The experimental results on a real data set demonstrated the effectiveness of our approach.

关键词： Spatial data mining Co-location pattern mining Interesting patterns Interactive feedback

作者: Xuguang Bao Lizhen Wang Hongmei Chen

作者单位: Department of Computer Science and Engineering,School of Information Science and Engineering,Yunnan University,Kunming,650091,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: 406-409

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）