摘要
为了获得用户感兴趣的co-location模式,提出了一个基于本体的交互式挖掘算法OIICM(ontology-based interactive interesting co-location miner)。首先,OIICM利用本体有效地聚合用户的领域知识;其次,OIICM基于本体定义了co-location模式间的语义距离;然后,OIICM设计用户交互过程以获得有趣的co-location模式;最后,OIICM提供过滤器来进一步缩减结果集。通过在合成数据以及实际数据上的大量实验验证了OIICM的准确性和有效性。
In order to find interesting co-location patterns for the user,this paper proposes an ontology-based interactive approach(Ontology-Based Interactive Interesting Co-location Miner,OIICM).First,ontology is used to improve the integration of domain knowledge.Second,the semantic distance between co-locations is defined.Third,an interactive process is proposed to find interesting co-location patterns.Finally,a filter is designed to reduce the result set.The experimental results on both synthetic and real data sets demonstrate the effectiveness of our approach.
出处
《太原理工大学学报》
CAS
北大核心
2018年第1期94-105,共12页
Journal of Taiyuan University of Technology
基金
国家自然科学基金资助项目(61472346
61662086
61762090)
云南省自然科学基金资助项目(2016FA026
2015FB114)
云南省高效谱传感与边疆无线电安全重点实验室资助项目(C6165903)