肖 清, 陈红梅, 王丽珍. 基于D-S理论挖掘Top-k空间co-location模式[J]. 云南大学学报(自然科学版), 2014, 36(S2): 14-22. doi: 10.7540/j.ynu.2014a03
引用本文: 肖 清, 陈红梅, 王丽珍. 基于D-S理论挖掘Top-k空间co-location模式[J]. 云南大学学报(自然科学版), 2014, 36(S2): 14-22. doi: 10.7540/j.ynu.2014a03
XIAO Qing, CHEN Hongmei, WANG Lizhen. Mining top-k co-location patterns based on D-S evidence theory[J]. Journal of Yunnan University: Natural Sciences Edition, 2014, 36(S2): 14-22. DOI: 10.7540/j.ynu.2014a03
Citation: XIAO Qing, CHEN Hongmei, WANG Lizhen. Mining top-k co-location patterns based on D-S evidence theory[J]. Journal of Yunnan University: Natural Sciences Edition, 2014, 36(S2): 14-22. DOI: 10.7540/j.ynu.2014a03

基于D-S理论挖掘Top-k空间co-location模式

Mining top-k co-location patterns based on D-S evidence theory

  • 摘要: 基于证据理论,提出一种挖掘出现频率最高的k个co-location模式的方法.首先描述了基于证据理论求解co-location模式的相关概念和方法;然后提出并实现了EC(Evidence-Co-location)算法挖掘top-k高频co-location模式;最后,大量的实现验证了所提出方法的有效性.

     

    Abstract: This paper proposes a method to mine the top-k co-location patterns based on evidence theory.Firstly,the concepts and the methods for mining co-locations based on evidence theory are described.Then the EC (Evidence-Co-location) algorithm for mining the top-k high-frequency co-locations is presented.Finally,extensive experiments showed the effectiveness of the presented method.

     

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