Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Advanced Fraud Detection Using Machine Learning Techniques in Accounting and Finance Sector Subject The topic of the resource Accounting; Finance Sector; Fraud Detection; Machine Learning; Techniques Description An account of the resource Monetary fraud, which is a deceptive method for getting cash, has turned into a typical issue in organizations and associations as of late. Customary techniques like manual checks and reviews aren't extremely precise, are costly, and consume most of the day. Attempting to get cash by lying. With the ascent of simulated intelligence, approaches based on machine learning have become more well known. can be utilized shrewdly to track down fraud by dissecting an enormous number of monetary exercises information. Thus, this work attempts to give a systematic literature review (SLR) that ganders at the literature in a systematic manner. reviews and sums up the exploration on machine learning (ML)-based fraud recognizing that has proactively been finished. In particular, the review utilized the Kitchenham strategy, which depends on clear systems. It will then, at that point, concentrate and rundowns the significant pieces of the articles and give the outcomes. Considering the Few investigations have been finished to accumulate search systems from well-known electronic information base libraries. 93 pieces were picked, examined, and integrated in light of measures for what to incorporate and what to forget about. As the monetary world gets more confounded, robbery is turning into a more serious issue in the accounting and finance industry. Fraudulent activities cost cash, yet they likewise make it harder for individuals to trust monetary frameworks. To stop this danger, we want further developed ways of tracking down fraud straightaway. This theoretical gives an outline of how machine learning strategies are utilized to further develop fraud detection in accounting and finance. 2024 IEEE. Creator An entity primarily responsible for making the resource Bhowte Y.W.; Roy A.; Raj K.B.; Sharma M.; Devi K.; Lathasoundarraj P. Source A related resource from which the described resource is derived Proceedings of 9th International Conference on Science, Technology, Engineering and Mathematics: The Role of Emerging Technologies in Digital Transformation, ICONSTEM 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICONSTEM60960.2024.10568756" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICONSTEM60960.2024.10568756</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198831144&amp;doi=10.1109%2FICONSTEM60960.2024.10568756&amp;partnerID=40&amp;md5=c0ed4692c89d9745e20f68e511a52143" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198831144&amp;doi=10.1109%2fICONSTEM60960.2024.10568756&amp;partnerID=40&amp;md5=c0ed4692c89d9745e20f68e511a52143</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036509-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bhowte Y.W., Sinhgad Institute of Management And Computer Applications Narhe, Department of Mba, India; Roy A., Institute of Business And Computer Studies, Siksha 'o' Anusandhan, Deemed To Be University, Odisha, Bhubaneswar, 751030, India; Raj K.B., Institute of Public Enterprise, Department of Management Studies, Hyderabad, 500101, India; Sharma M., Thakur Institute of Management Studies And Research, Department of Finance, Mumbai, 400101, India; Devi K., Dav Autonomous College, Faculty In Commerce, Odisha, Titilagarh, India; Lathasoundarraj P., School of Business And Management, Christ University, Lavasa, Maharashtra, Pune, 412112, India