AUTOMATIC ELIMINATION OF NOISE FOR BIG DATA ANALYTICS

AUTOMATIC ELIMINATION OF NOISE FOR BIG DATA ANALYTICS

A method comprising identifying a set of target features for a plurality of data instances of an input data collection; determining feature values for the set of target features for the plurality of data instances; identifying a plurality of outlier data instances based on the determined feature val...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Singh, Vivek K, Swanson, John A, Sastry, Kumara, Chen, I-Tzu, Parks, Helen F
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Beschreibung
Zusammenfassung:A method comprising identifying a set of target features for a plurality of data instances of an input data collection; determining feature values for the set of target features for the plurality of data instances; identifying a plurality of outlier data instances based on the determined feature values; identifying a plurality of noisy data instances from the outlier data instances based on feature values of the plurality of noisy data instances, wherein a noisy data instance is identified based on a determination that noise is present in noisy data instance; and providing an indication of the plurality of noisy data instances.