Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Houssou, R��gis"'
This paper proposes a method to detect bank frauds using a mixed approach combining a stochastic intensity model with the probability of fraud observed on transactions. It is a dynamic unsupervised approach which is able to predict financial frauds.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a730bd75b9632ea16d33182d40523b14
This paper addresses the problem of unsupervised approach of credit card fraud detection in unbalanced dataset using the ARIMA model. The ARIMA model is fitted on the regular spending behaviour of the customer and is used to detect fraud if some devi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bf2378beb2252897bf84d76ec4cec87
This paper discusses financial fraud detection in imbalanced dataset using homogeneous and non-homogeneous Poisson processes. The probability of predicting fraud on the financial transaction is derived. Applying our methodology to the financial datas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fd302158169ed0004b37945bd60ce58