Financial Data Anomaly Discovery Using Behavioral Change Indicators

Financial Data Anomaly Discovery Using Behavioral Change Indicators

In this article we present an approach to financial data analysis and anomaly discovery. In our view, the assessment of performance management requires the monitoring of financial performance indicators (KPIs) and the characteristics of changes in KPIs over time. Based on this assumption, behavioral...

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Bibliographic Details
Main Authors: Audrius Lopata, Saulius Gudas, Rimantas Butleris, Vytautas Rudžionis, Liutauras Žioba, Ilona Veitaitė, Darius Dilijonas, Evaldas Grišius, Maarten Zwitserloot
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Electronics
Subjects:
financial data analysis
financial data anomalies
key performance indicators
time series
behavioral change indicators
Online Access:https://www.mdpi.com/2079-9292/11/10/1598

Internet

https://www.mdpi.com/2079-9292/11/10/1598

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