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Displaying results 9 - 10 of 10
  • Content Type: Abstract

    Objective: Ideal anomaly detection algorithms should detect both sudden and gradual changes, while keeping the background false positive alert rate at a tolerable level. Our objective was to develop an anomaly detection algorithm that adapts to the… read more
    … be less than or equal to 1 – Φ(c ), where Φ is the stan- dard normal distribution function and c is any of the …
  • Content Type: Abstract

    Objective Several authors have described ways to introduce artificial outbreaks into time series for the purpose of developing, testing, and evaluating the effectiveness and timeliness of anomaly detection algorithms, and more… read more
    … Figure 1: Comparative Time Series of Emergency Department Visits with Artificial Outbreaks RESULTS Data sequences …