基于模式融合挖掘巨型频繁co-location模式  

Mining Spatial Colossal Prevalent Co-location Patterns Based on Pattern Fusion Method

作　　者：袁巩生 王丽珍[1] 陈红梅[1] 段江丽 YUAN Gongsheng;WANG Lizhen;CHEN Hongmei;DUAN Jiangli(School of Information Science and Engineering,Yunnan University,Kunming 650091,China)

机构地区：[1]云南大学信息学院,云南昆明650091

出　　处：《郑州大学学报（理学版）》2018年第3期39-45,共7页Journal of Zhengzhou University:Natural Science Edition

基　　金：国家自然科学基金项目(61472346;61662086);云南省自然科学基金项目(2016FA026;2015FB114)

摘　　要：利用模式融合思想提出了一个空间co-location模式挖掘算法,该算法通过每次融合小模式来快速生成含有大量特征的巨型频繁模式,从而避开了大量的中间模式.并且,由于模式融合旨在产生近似解,因此又引进了一个质量评估模型,评估算法返回的模式.Based on pattern-fusion method,a novel mining approach to efficiently mine rather large spatial co-location pattern was presented.With pattern-fusion method,rather large pattern was found by fusing its small core patterns in one step,whereas some algorithms had to examine a large number of mid-sized patterns.Since the pattern fusion aimed at getting a good approximation to the complete set of the rather larger co-location pattern,a quality evaluation model to evaluate the result set was introduced.

关 键 词：巨型频繁co-location模式挖掘 co-location核模式 模式融合 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]