Exemplary embodiments of the present invention include methods for administering devices. Such exemplary embodiments include creating a user metric vector comprising a plurality of disparate user metrics, creating a user metric space comprising a plurality of metric ranges, and determining whether the user metric vector is outside the user metric space. If the user metric vector is outside a user metric space, such embodiments include creating in dependence upon the user metric vector, a dynamic action list, identifying at least one action in the dynamic action list, executing the action, and determining whether a value of a user metric of the user metric vector that was outside a metric range of the user metric space before executing the action is outside the metric range after executing the action.

 
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> Data classification using stochastic key feature generation

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