Abstract: A system and method for analyzing error codes includes detecting a failure condition on a network, identifying a subset of subscribers impacted by the failure condition, determining for each subscriber in the subset of subscribers a first set of error codes associated with the failure condition, creating a Bayesian network comprising one or more error codes from the first set of error codes of each the subset of subscribers, computing a Conditional Probability Distribution (CPD) for each of the one or more error codes of the Bayesian network, and determining a second set of error codes based on the CPD, the second set of error codes indicative of a cause of the failure condition.

Abstract: Systems and methods for network traffic monitoring are provided. A system may retrieve first information of a first data packet exchange including a first plurality of network attributes associated with the first data packet exchange, generate a first embedding vector corresponding to the first plurality of network attributes, identify a second embedding vector of a second data packet exchange based on a correlation between the first embedding vector and the second embedding vector in a vector space, determine that one or more network attributes are included in the first information and absent from second information of the second data packet exchange, and generate an entry in the second database to include the first information and a flag to indicate the determination that the one or more network attributes are included in the first information and absent from the second information.

Abstract: A system and method for analyzing error codes includes detecting a failure condition on a network, identifying a subset of subscribers impacted by the failure condition, determining for each subscriber in the subset of subscribers a first set of error codes associated with the failure condition, creating a Bayesian network comprising one or more error codes from the first set of error codes of each the subset of subscribers, computing a Conditional Probability Distribution (CPD) for each of the one or more error codes of the Bayesian network, and determining a second set of error codes based on the CPD, the second set of error codes indicative of a cause of the failure condition.