Scalable SUM-Shrinkage Schemes for Distributed Monitoring Large-Scale Data Streams

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：boymy

【摘要】

：

In this talk,we investigate the problem of monitoring independent large-scale data streams where an undesired event may occur at some unknown time and affect only a few unknown data streams.

【作者】

：

Kun Liu Ruizhi Zhang Yajun Mei

【机构】

：

H.Milton Stewart School of Industrial and Systems Engineering,Georgia Institute of Technology,Atlant

【出处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

change-point CUSUM parallel computing quickest detection sensor networks

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　　In this talk,we investigate the problem of monitoring independent large-scale data streams where an undesired event may occur at some unknown time and affect only a few unknown data streams.

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Scalable SUM-Shrinkage Schemes for Distributed Monitoring Large-Scale Data Streams

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