Expense fraud detection

Abstract A method and system of assessing data inputs to detect and judge erroneous or fraudulent data inputs is provided. The method comprises a machine learning system based on training data to develop a model to assess future data inputs. The training data are based on historical data inputs. Bas...

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Bibliographische Detailangaben
Hauptverfasser:	SASIDHARAN, Renjith Karimattathil, VON SCHLEDORN, Martin, BILDNER, Sebastian, STÄMMLER, Martin, KRION, Paul, STARK, Thomas, 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 PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	Abstract A method and system of assessing data inputs to detect and judge erroneous or fraudulent data inputs is provided. The method comprises a machine learning system 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, a set pf predefined actions may be triggered in order to handle the erroneous or fraudulent data input. 17779633_1 (GHMatters)P116232.AU V) L- C Inn 4--j a)o In L