EXPENSE FRAUD DETECTION

EXPENSE FRAUD DETECTION

Methods and systems of assessing data inputs to detect and judge erroneous or fraudulent data inputs is provides. A machine learning system is based on training data to develop a model to assess future data inputs. The training data are based on historical data inputs. Based on the results of the as...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Krion, Paul, Von Schledorn, Martin, Sasidharan, Renjith Karimattathil, Stammler, Martin, Stark, Thomas, Bildner, Sebastian, Oesterle, Jürgen
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:Methods and systems of assessing data inputs to detect and judge erroneous or fraudulent data inputs is provides. A machine learning system is based on training data to develop a model to assess future data inputs. The training data are based on historical data inputs. Based on the results of the assessment of the future data inputs, a set of predefined actions may be triggered in order to handle the erroneous or fraudulent data inputs.