The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …

Methods to classify objects into two or more classes are at the core of various disciplines.
When a set of objects with their true classes is available, a supervised classifier can be …

Detecting frauds in credit card transactions is perhaps one of the best testbeds for
computational intelligence algorithms. In fact, this problem involves a number of relevant …

Credit scoring is without a doubt one of the oldest applications of analytics. In recent years, a
multitude of sophisticated classification techniques have been developed to improve the …

This study aims to develop accounting standards, curriculums, and research to cope with the
rapid development of big data. The study presents several potential convergence points …

The F-measure, also known as the F1-score, is widely used to assess the performance of
classification algorithms. However, some researchers find it lacking in intuitive interpretation …

Illegal dum**, referring to the intentional and criminal abandonment of waste in
unauthorized areas, has long plagued governments and environmental agencies …

Financial fraud is escalating as financial services and operations grow. Despite preventive
actions and security measures deployed to mitigate financial fraud, fraudsters are learning …

In this survey, we briefly review some recent advances in the field of indirect reciprocity and
reputation mechanism along the routes of theoretical modeling and behavior experiments …

This research provides a comprehensive review of forensic accounting in the digital age,
focusing on its evolution, current practices, and future prospects in combating digital …