MINING FOR STATISTICAL ENUMERATED TYPE

Event stream attributes are analyzed to determine whether the attributes are of a statistical enumerated type, or, in other words, whether the attributes comprise statistically fixed sets of unique values, for instance. The analysis can involve determining a magnitude of change to a set of unique attribute values. In one instance, such a determination can be performed as a function of a number, or count, of unique values. Further, event stream processing can be performed dynamically, for instance, by partitioning data into time intervals and processing the intervals incrementally.