OICRM:An Ontology-Based Interesting Co-location Rule Miner
Spatial co-location rule mining plays an important role in spatial data mining.The usefulness of co-location rules is strongly limited by the huge amount of discovered rules.To overcome this drawback,several methods were proposed in the literatures.However,being generally based on statistical information,most of these methods do not guarantee that the extracted co-location rules are interesting for the user.Thus,it is crucial to help the decision-maker with an efficient processing step to reduce the number of co-location rules.This demonstration presents OICRM,an interactive system to discover interesting co-location rules based on the ontology.First,the ontology is used to improve the integration of user knowledge;next,a powerful formula sub-system is designed to easily represent domains background and constraint knowledge;finally,OICRM has an interactive post-processing step (the secondary mining) to reduce the number of rules furthermore.
Xuguang Bao Lizhen Wang Meijiao Wang
School of Information Science and Engineering,Yunnan University,Kunming,Yunnan,China
国际会议
International Asia-Pacific Web Conference(第18届国际亚太互联网大会)
苏州
英文
570-573
2016-09-23（万方平台首次上网日期，不代表论文的发表时间）