{"id":214,"date":"2020-04-05T13:56:03","date_gmt":"2020-04-05T11:56:03","guid":{"rendered":"https:\/\/emielcaron.nl\/?p=214"},"modified":"2020-04-05T13:56:08","modified_gmt":"2020-04-05T11:56:08","slug":"thesis-project-detecting-unusual-journal-entries-in-financial-statement-audits-with-auto-encoder-neural-networks","status":"publish","type":"post","link":"https:\/\/emielcaron.nl\/?p=214","title":{"rendered":"Thesis project: Detecting unusual journal entries in financial statement audits with auto-encoder neural networks"},"content":{"rendered":"\n<p>Every once in a while, a new news item appears reporting a new case of fraud and the many affected victims. According to the Association of Certified Fraud Examiners, fraud has caused more than $7 billion in total losses in 125 different countries between January 2016 and October 2017.\u00a0 The current fraud detection techniques are based on heuristics and past experience, so the main issue is that new types of fraud cannot be detected. The thesis aims to introduce a new method for fraud detection which resolves the downsides of the current methods, namely auto encoder neural networks. This method is explored by first realizing a replication study, upon which adversarial auto encoders are implemented to attempt to exceed the results of the existing studies.<\/p>\n\n\n\n<p>At the moment Joyce Hendriks (<a href=\"mailto:j.p.a.hendriks@tilburguniversity.edu\">j.p.a.hendriks@tilburguniversity.edu<\/a>) is working on this topic.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Every once in a while, a new news item appears reporting a new case of fraud and the many affected victims. According to the Association of Certified Fraud Examiners, fraud has caused more than $7 billion in total losses in 125 different countries between January 2016 and October 2017.\u00a0 The current fraud detection techniques are &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/emielcaron.nl\/?p=214\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Thesis project: Detecting unusual journal entries in financial statement audits with auto-encoder neural networks&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-214","post","type-post","status-publish","format-standard","hentry","category-thesis"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Thesis project: Detecting unusual journal entries in financial statement audits with auto-encoder neural networks - Emiel Caron<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/emielcaron.nl\/?p=214\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Thesis project: Detecting unusual journal entries in financial statement audits with auto-encoder neural networks - Emiel Caron\" \/>\n<meta property=\"og:description\" content=\"Every once in a while, a new news item appears reporting a new case of fraud and the many affected victims. 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