Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics

Berkay Aydin, Vijay Akkineni, R. Angryk
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引用次数: 13

Abstract

Mining spatiotemporal co-occurrence patterns requires assessing the strength of co-occurrences among the instances of different feature types. Currently, a spatiotemporal version of the Jaccard measure is used for measuring the strength of spatiotemporal co-occurrences. We present an extended spatiotemporal version of the Jaccard measure (J*) that is more relevant and efficient for the task of STCOP mining. We also demonstrate the space and time efficiency of the J* with experimental evaluation.
从具有不平衡特征的数据中发现时空共现的时效性显著性测度
挖掘时空共现模式需要评估不同特征类型实例之间的共现强度。目前,一种时空版本的Jaccard测量被用于测量时空共现的强度。我们提出了一个扩展的Jaccard测度(J*)的时空版本,它与STCOP挖掘任务更相关,更有效。通过实验验证了J*的空间效率和时间效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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