High-dimensional data monitoring and diagnosis has recently attracted increasing attention among researchers as well as practitioners. However, existing process monitoring methods fail to fully use th

NIAID Data Ecosystem20

Identified hourly cluster attributes derived via space-time scan statistics.

时空异常检测

流行病学监测

Identified hourly cluster attributes derived via space-time scan statistics.

Figshare2015-12-02 更新10

Simulation-Based Evaluation of the Performances of an Algorithm for Detecting Abnormal Disease-Related Features in Cattle Mortality Records

动物疫情监测

时空异常检测

We performed a simulation study to evaluate the performances of an anomaly detection algorithm considered in the frame of an automated surveillance system of cattle mortality. The method consisted in

Figshare2016-01-15 更新30

A Spatiotemporal, Congestion-Context-Aware Vehicular Communication Dataset for Malicious Flooding Attack Analysis

车辆通信网络安全

时空异常检测

This dataset presents a comprehensive spatiotemporal representation of vehicular communication under benign and malicious flooding conditions, simulated across both highway and metropolitan mobility e

NIAID Data Ecosystem10

Space<b>–</b>time scan statistics of the secondary clusters.

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