This paper gives a comprehensive revision of the state-of-the-art research in detecting
financial fraud from 2009 to 2019 inclusive and classifying them based on their types of …

Financial fraud, considered as deceptive tactics for gaining financial benefits, has recently
become a widespread menace in companies and organizations. Conventional techniques …

In the broad sense, the Bayesian networks (BN) are probabilistic graphical models that
possess unique methodical features to model dependencies in complex networks, such as …

With the growth of online shop**, Credit Card Fraud (CCF) comes out as a serious
menace. For this end, the automatic and real-time fraud detection field calls for several …

Healthcare sector is one of the prominent sectors in which a lot of data can be collected not
only in terms of health but also in terms of finances. Major frauds happen in the healthcare …

Credit card fraud detection is a challenging task since fraudulent actions are hidden in
massive legitimate behaviors. This work aims to learn a new representation for each …

The global online communication channel made possible with the internet has increased
credit card fraud leading to huge loss of monetary fund in their billions annually for …

The high volume of money involved in e-commerce transactions draws the attention of
fraudsters, which makes fraud prevention and detection techniques of high importance …

The continued ability to detect malicious network intrusions has become an exercise in
scalability, in which data mining techniques are playing an increasingly important role. We …

The misclassification of loan applicants by credit scoring model is one of the main factors
causing the loss of investors' profits in P2P lending. Class imbalance of credit data is a main …