Process science in action: A literature review on process mining in business management
Process Mining is a new kind of Business Analytics and has emerged as a powerful family of
Process Science techniques for analysing and improving business processes. Although …
Process Science techniques for analysing and improving business processes. Although …
Credit card fraud detection using a new hybrid machine learning architecture
The negative effect of financial crimes on financial institutions has grown dramatically over
the years. To detect crimes such as credit card fraud, several single and hybrid machine …
the years. To detect crimes such as credit card fraud, several single and hybrid machine …
The state-of-the-art of business process mining challenges
H R'bigui, C Cho - International Journal of Business Process …, 2017 - inderscienceonline.com
Business process mining is a new method that amalgamates business process modelling
and analysis with data mining and machine learning techniques, whereby knowledge from …
and analysis with data mining and machine learning techniques, whereby knowledge from …
Anomaly detection in business processes using process mining and fuzzy association rule learning
Much corporate organization nowadays implement enterprise resource planning (ERP) to
manage their business processes. Because the processes run continuously, ERP produces …
manage their business processes. Because the processes run continuously, ERP produces …
[HTML][HTML] Mining association rules for anomaly detection in dynamic process runtime behavior and explaining the root cause to users
K Böhmer, S Rinderle-Ma - Information Systems, 2020 - Elsevier
Detecting anomalies in process runtime behavior is crucial: they might reflect, on the one
side, security breaches and fraudulent behavior and on the other side desired deviations …
side, security breaches and fraudulent behavior and on the other side desired deviations …
Application of machine learning and resampling techniques to credit card fraud detection
The application of machine learning algorithms to the detection of fraudulent credit card
transactions is a challenging problem domain due to the high imbalance in the datasets and …
transactions is a challenging problem domain due to the high imbalance in the datasets and …
A semantic rule based digital fraud detection
Digital fraud has immensely affected ordinary consumers and the finance industry. Our
dependence on internet banking has made digital fraud a substantial problem. Financial …
dependence on internet banking has made digital fraud a substantial problem. Financial …
Deep reinforcement learning for data-efficient weakly supervised business process anomaly detection
EA Elaziz, R Fathalla, M Shaheen - Journal of Big Data, 2023 - Springer
The detection of anomalous behavior in business process data is a crucial task for
preventing failures that may jeopardize the performance of any organization. Supervised …
preventing failures that may jeopardize the performance of any organization. Supervised …
Towards explainable artificial intelligence in financial fraud detection: Using shapley additive explanations to explore feature importance
As the number of organizations and their complexity have increased, a tremendous amount
of manual effort has to be invested to detect financial fraud. Therefore, powerful machine …
of manual effort has to be invested to detect financial fraud. Therefore, powerful machine …
[PDF][PDF] A survey on digital fraud risk control management by automatic case management system
W Haoxiang, S Smys - Journal of Electrical Engineering and …, 2021 - scholar.archive.org
In this digital era, a huge amount of money had been laundered via digital frauds, which
mainly occur in the timeframe of electronic payment transaction made by first-time …
mainly occur in the timeframe of electronic payment transaction made by first-time …