AUTOMATED FEATURE MONITORING FOR DATA STREAMS

AUTOMATED FEATURE MONITORING FOR DATA STREAMS

One or more events of a data stream are received. For each feature of a set of features, the one or more events are used to update a corresponding distribution of data from the data stream. For each feature of the set of features, the corresponding updated distribution and a corresponding reference...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: ASCENSAO, Joao, Tiago, Barriga, Negra, GOMES, Ana, Sofia, Leal, SILVA, Pedro, Cardoso, Lessa E, AZEVEDO, Joao, Dias, Conde, MOREIRA, Ricardo, Miguel De Oliveira, SAMPAIO, Marco, Oliveira, Pena, OLIVEIRINHA, Joao, Miguel, Forte, BIZARRO, Pedro, Gustavo, Santos, Rodrigues
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:One or more events of a data stream are received. For each feature of a set of features, the one or more events are used to update a corresponding distribution of data from the data stream. For each feature of the set of features, the corresponding updated distribution and a corresponding reference distribution are used to determine a corresponding divergence value. For each feature of the set of features, the corresponding determined divergence value and a corresponding distribution of divergences are used to determine a corresponding statistical value. Using the statistical values each corresponding to a different feature of the set of features, a statistical analysis is performed to determine a result associated with a likelihood of data drift detection.