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Time-Space Domain of Group Behavior Research Based on Major Events Influence

机译:基于重大事件影响的小组行为研究的时空领域

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When a major event creates a behavior cluster, this cluster's spatiio-temporal data is the group behavior time-space domain. The time data of each individual on the space is a time series data. So this article we first to analyze the time series, approximately express the time series with the piecewise linear representation (PLR) method, and then use activity measure method for abnormal detection to get the abnormal time domain. According to the time of the major events occurred, we match individual abnormal time domain, and get the common abnormal groups. Finally, for these abnormal groups, we can get the space domain of the event with k-Medoids clustering algorithm analysis.
机译:当主要事件创建行为群集时,此群集的Spatiio-Tempyal数据是组行为时空域。 空间上每个单独的时间数据是时间序列数据。 所以这篇文章我们首先要分析时间序列,大致表达与分段线性表示(PLR)方法的时间序列,然后使用活动测量方法进行异常检测以获得异常时域。 根据主要事件发生的时间,我们匹配各个异常时域,并获得常见的异常组。 最后,对于这些异常组,我们可以通过K-METOIDS聚类算法分析获取事件的空间域。

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