A literature survey of fraud detection applications would involve examining relevant research papers, articles, and publications that discuss various approaches, techniques, and methodologies used in detecting and preventing fraud. While I cannot perform a real-time search of the latest literature, I can provide you with a general overview of common techniques and approaches in fraud detection based on existing knowledge until September 2021.
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It’s important to note that fraud detection is an active research field, and new techniques and approaches may have been developed since my last knowledge update. To conduct a comprehensive literature survey, I recommend searching academic databases, such as IEEE Xplore, ACM Digital Library, or Google Scholar, using relevant keywords like “fraud detection,” “fraud detection techniques,” or “fraud detection algorithms” to find the latest research publications on the topic.1
Although 216 articles in the Journal are indexed in Dimensions, this one is not.