AN EFFICIENT ONLINE MONITORING METHOD FOR HIGH-DIMENSIONAL DATA STREAMS

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：gzsee

【摘要】

：

Monitoring high-dimensional data streams has become increasingly important for realtime detection of abnormal activities in many data-rich applications.

【作者】

：

Changliang Zou Zhaojun Wang Xuemin Zi Wei Jiang

【机构】

：

Institute of Statistics,Nankai University,300072 Tianjin,China

【出处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

Change-point detection CUSUM Goodness-of-fit test Higher criticism Multiple test

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　　Monitoring high-dimensional data streams has become increasingly important for realtime detection of abnormal activities in many data-rich applications.

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AN EFFICIENT ONLINE MONITORING METHOD FOR HIGH-DIMENSIONAL DATA STREAMS

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