Another approach is based on identifying outliers in the set of code-phases.
The method may be used in particular for identifying anomalous (novelty or outlier) features within the scene.
The new events may be analyzed and reported to a web session operator based on their contribution to any identified outliers.
In some embodiments, statistics may be generating regarding an outlier in the data, a directional trend in the data, or variability of the data.
Even if no outliers are detected, the new events having a most significant impact on web session operating conditions may be identified and reported in real-time.
Requêtes fréquentes français :1-200, -1k, -2k, -3k, -4k, -5k, -7k, -10k, -20k, -40k, -100k, -200k, -500k, -1000k,
Requêtes fréquentes anglais :1-200, -1k, -2k, -3k, -4k, -5k, -7k, -10k, -20k, -40k, -100k, -200k, -500k, -1000k,
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