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Machine learning based system and method for improving false alert triggering in web based device management applications
Machine learning based system and method for improving false alert triggering in web based device management applications
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机译:基于机器学习的系统和方法,用于改进基于Web的设备管理应用程序中的虚假警报触发
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摘要
Methods, systems, and processor-readable media for remotely providing a device status alert. In an example embodiment, data indicative of the status of one or more devices can be subject to an HMM (Hidden Markov Model) and a dynamic programming algorithm to determine the latent state of the device (or devices). A status alert model can be trained based on such data and can be expanded with respect to a wide range of devices including utilizing semi-supervised learning. The alert status model can then be integrated into a device management application that provides a status alert regarding one or more of such devices based on the status alert model.
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