@inproceedings{bf10cb91db0243d2bd95f45472359c6e,
title = "Unusual Invoice Detection Using a Permutation Based Genetic Algorithm",
abstract = "In this article, we investigate a problem of invoice fraud detection in companies. We propose a method that can be applied to invoices received by a company and is used to check if their ID is consistent with the ID of previous documents emitted by the same company. This is one of several tests applied in the fraud detection pipeline and is used to mitigate the company's daily fraud attempts. The proposed method is based on the automatic discovery of the ID structure, represented by a regular expression, which is used on newly received documents to validate them.",
keywords = "component, formatting, insert, style, styling",
author = "Fatmah Alantali and Corrado Mio and Siddhartha Shakya and \{Abdulla Aljasmi\}, \{Alia Abdulaziz Ali\} and \{Mohammed Goian\}, \{Huda Saleh\} and Ahoud Saif",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 11th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2024 ; Conference date: 16-12-2024 Through 19-12-2024",
year = "2024",
doi = "10.1109/BDCAT63179.2024.00039",
language = "British English",
series = "Proceedings - 2024 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "184--189",
booktitle = "Proceedings - 2024 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2024",
address = "United States",
}