Machine learning based system and method for improving false alert triggering in web based device management applications
Abstract:
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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