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There is widespread interest today in developing tools that can diagnose the cause of a system failure accurately and efficiently based on monitoring data collected from the system. Over time, the system monitoring data will contain two types of failure data: annotated failure data L, which is monitoring data collected from failure states of the system, where the cause of failure has been diagnosed and attached as annotations with the data; and un-annotated failure data U. Previous work on wholly- or partially-automated diagnosis focused on L or U in isolation.
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