Charter Communications Operating, LLC

Manoj Acharya

Michael Bender

Irina Niyazov

A computing device may be configured to continuously, repeatedly, or recursively generate, train, improve, focus, or refine the machine learning classifier models that are used data anomalies. The computing device may create a corpus of data based on architecture or standards documents, generate classifier models based on the corpus of data, collect information from one or more data sources, generate feature vectors based on the collected information, apply the feature vectors to the classifier models to generate an analysis result, and identify a data anomaly based on the generated analysis result.

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Charlotte, NC, United States of America

Manoj Acharya