How to filtering false positives is a fundamental problem of IDS. Constructing alert classification model is one of efficient methods. However, the high cost of preparing training data and classification feature selection are key points in the problem. This paper gives a semi-supervised alert classification model which makes use of the power of semisupervised learning. Moreover, four classifica...

Clinical decision support can improve the quality of care, but requires substantial knowledge management activities. At NewYork-Presbyterian Hospital in New York City, we have implemented a formal alert management process whereby only hospital committees and departments can request alerts. An explicit requestor, who will help resolve the details of the alert logic and the alert message must be ...

In this study, we experimentally investigated the effects of the interaction between two individual systems, an automation system that conducts tasks and an alert system that monitors automation performance and alerts users to automation failures. The experimental results showed that when users used automation and alert systems together, when the alert system missed automation failures, the par...

OBJECTIVE This study assesses the influence of the auditory characteristics of alerts on perceived urgency and annoyance and whether these perceptions depend on the context in which the alert is received. BACKGROUND Alert parameters systematically affect perceived urgency, and mapping the urgency of a situation to the perceived urgency of an alert is a useful design consideration. Annoyance a...

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