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 Articles Article Faculty Publications -Articles 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 Effective fraud detection in healthcare domain using popular classification modeling techniques Subject The topic of the resource Anomaly Detection; Data Mining; Fraud Detection; Health Care; Machine Learning Description An account of the resource Fraud is any activity with malicious intentions resulting in personal gain. In the Present Day scenario, every sector is polluted by such fraudulent activities to fetch unauthorized benefits. In HealthCare, an increase in fraudulent insurance claims has been observed over the years which may constitute around 3-5% of the total cost. Increasing healthcare costs along with the hike in fraud cases have made it difficult for people to approach these services when required. To avoid such situations, we must understand and identify such illegal acts and prepare our systems to combat such cases. Thus, there is a need to have a powerful mechanism to detect and avoid fraudulent activities. Many Data mining approaches are applied to identify, analyze and categorized fraud claims from the genuine ones. In this paper, various frauds existing in the Health Care sector have been discussed along with analyzing the effect of frauds in the health care domain with existing data mining models. Furthermost, a comparative analysis is performed on two existing approaches to extract relevant patterns related to fraudulent claims. BEIESP. Creator An entity primarily responsible for making the resource Suri S.; Jose D.V. Source A related resource from which the described resource is derived International Journal of Innovative Technology and Exploring Engineering, Vol-8, No. 11, pp. 579-583. Publisher An entity responsible for making the resource available Blue Eyes Intelligence Engineering and Sciences Publication Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.35940/ijitee.K1578.0881119" target="_blank" rel="noreferrer noopener">https://doi.org/10.35940/ijitee.K1578.0881119</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073347420&amp;doi=10.35940%2Fijitee.K1578.0881119&amp;partnerID=40&amp;md5=fd6fed2da2903d23cfff29bd3d3f61f8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073347420&amp;doi=10.35940%2fijitee.K1578.0881119&amp;partnerID=40&amp;md5=fd6fed2da2903d23cfff29bd3d3f61f8</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 22783075 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Suri S., Department of Computer Science, CHRIST, India; Jose D.V., Faculty Department of Computer Science, CHRIST, India