Automated inference of evidence from log information

A method, comprising:

• receiving, by a device, an input sample corresponding to an input service ticket;
• identifying, by the device, a plurality of output samples that are similar to the input sample,
• the plurality of output samples being selected from historical service tickets that have previously been processed;
• obtaining or determining, by the device, log information identifying a plurality of events associated with the input sample;
• determining, by the device, respective probabilities of occurrence corresponding to the plurality of output samples,
• a probability of occurrence, for a particular output sample of the plurality of output samples, identifying a likelihood of receiving a corresponding service ticket within a particular time period of occurrence of the plurality of events;
• assigning, by the device, ranks to the plurality of output samples based on the respective probabilities of occurrence;
• and
• providing, by the device, information identifying the ranks and the plurality of output samples.

A non-transitory computer-readable medium storing instructions, the instructions comprising:

• one or more instructions that, when executed by one or more processors, cause the one or more processors to:
• receive a first sample;
• identify a plurality of second samples that are similar to the first sample,
• the plurality of second samples being selected from historical service tickets that have previously been processed;
• identify a plurality of events associated with the first sample based on log information for a device associated with the plurality of events;
• determine respective probabilities of occurrence corresponding to the plurality of second samples,
• a probability of occurrence, for a particular second sample, identifying a likelihood of receiving a corresponding service ticket within a particular time period of occurrence of the plurality of events;
• assign ranks to the plurality of second samples based on the respective probabilities of occurrence;
• and
• provide information identifying the ranks and the plurality of second samples.