Automated, In-Context Data Quality Annotations for Data Analytics Visualization

A mechanism that flags and detects inaccurate or bad data, and annotates the flagged data with automatically generated metadata that may then be provided to end users (e.g., resource managers, service owners, finance analysts, data scientists, executives, etc.) via an application stack. The automati...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Chou, Edward, Maher, Richard A, Belapurkar, Abhijit, Verma, Abhishek, Uppalaguptam, Bhaswanth, Madabhushi, Pramod, Michaylov, Spiro, Pizarro, Nicole, Jun, Michael, Koneru, Srirama, Liu, Michael Yang
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:A mechanism that flags and detects inaccurate or bad data, and annotates the flagged data with automatically generated metadata that may then be provided to end users (e.g., resource managers, service owners, finance analysts, data scientists, executives, etc.) via an application stack. The automatic annotations comprise quality annotations that may include data freshness, correctness, and/or completeness.