Messprofile
Messprofile is a term used in data science and information systems to describe a composite portrait of irregularity or 'messiness' in activity data. It summarizes patterns of events to help analysts compare systems, identify anomalies, and study dynamic behavior. Rather than focusing on aggregate counts alone, a messprofile includes features that capture how events are distributed over time and space, how predictable their sequence is, and how data quality varies across sources.
Common components include inter-event time distribution to capture spacing, burstiness measures that quantify clustering of events,
Messprofile has been used in domains such as network monitoring, cybersecurity, and consumer behavior analytics to
See also data quality, time series analysis, anomaly detection, burstiness.