This is an interesting paper, but it sort of sidesteps one of the harder problems in generalized machine learning for log analysis: > As shown by several prior

This is an interesting paper, but it sort of sidesteps one of the harder problems in generalized machine learning for log analysis: > As shown by several prior work [9, 22, 39, 42, 45], an effective methodology is to extract a “log key” (also known as “message type”) from each log entry. The log key of a log entry e refers to the string constant k from the print statement in the source code which printed e during the execution of that code. So if you're looking for a way to apply this to log data that varies wildly, like site access logs, you still have the difficult problem of converting the URIs to the numeric vectors needed by ML algorithms without losing the significant parts of the input.