Abstract
In a data stream with many attributes and a high frequency of events, how to spot clusters of similar events? How to identify outlying events, and sort them according to how much they differ from the main data patterns? Can it be performed in real time? For example, based on the actions of users over time in an online digital game management system, how to identify clusters of users/playe…