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 Analysis of Fraud Prediction and Detection Through Machine Learning Subject The topic of the resource Genetic Algorithm (GA); Insurance fraud; K-means; Machine Learning Description An account of the resource In today's world the rate of fraudulent activities has significantly elevated, because of which a need for a competent system is required. Among all the fraudulent activities insurance fraud has the most dominating rate of growth. Fraud studies have suggested, that upon identifying the similar characteristics of a fraudulent claim with the claimants, a system of forensic and data-mining technologies for fraud detection can be set up. In this, seek to define fraud and fraudster, and look at the types of fraud and followed by the consequences of fraud to financial systems. As fraud is getting widespread these days epically in the health care insurance system, dealing with this problem has become a necessity. Unsupervised machine learning algorithms such as K-Means clustering along with supervised algorithms used in machine learning, like support vector machines, logistic regression, design trees etc. can play a very vital role in binary class classifications, which would ultimately help in identifying and outreaching the desired goal of fraudulent detection. In the end, this paper specifies the best or the most appropriate model that could be used in the given dataset to produce the most accurate results, based on certain parameters of confusion metrics like accuracy, precision, and specificity. 2023 IEEE. Creator An entity primarily responsible for making the resource Upreti K.; Sharma A.; Khatri V.; Hundekari S.; Gautam V.; Kapoor A. Source A related resource from which the described resource is derived 2023 International Conference on Network, Multimedia and Information Technology, NMITCON 2023 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/NMITCON58196.2023.10276042" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/NMITCON58196.2023.10276042</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175403067&amp;doi=10.1109%2FNMITCON58196.2023.10276042&amp;partnerID=40&amp;md5=e09459c4b53ad6885e518b4937ab3c49" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175403067&amp;doi=10.1109%2fNMITCON58196.2023.10276042&amp;partnerID=40&amp;md5=e09459c4b53ad6885e518b4937ab3c49</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030082-6 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 Upreti K., CHRIST(Deemed to Be University), Dept. of Computer Science, Ghaziabad, India; Sharma A., Dr. Akhilesh das Gupta Institute of Technology and Management, Department of Cse, Delhi, India; Khatri V., Bpit, Department of Cse, Delhi, India; Hundekari S., Mit Adt University, Pune, India; Gautam V., University of Warwick, United Kingdom; Kapoor A., Department of Cse, Maharaja Surajmal Institute of Technology, Delhi, India