{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T06:31:41Z","timestamp":1781332301256,"version":"3.54.1"},"reference-count":19,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,8]]},"DOI":"10.1109\/ic3.2017.8284299","type":"proceedings-article","created":{"date-parts":[[2018,2,8]],"date-time":"2018-02-08T16:49:18Z","timestamp":1518108558000},"page":"1-7","source":"Crossref","is-referenced-by-count":33,"title":["Fraud detection and frequent pattern matching in insurance claims using data mining techniques"],"prefix":"10.1109","author":[{"given":"Aayushi","family":"Verma","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anu","family":"Taneja","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anuja","family":"Arora","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2006.08.035"},{"key":"ref11","first-page":"194","article-title":"Using data mining to detect health care fraud and abuse: a review of literature","volume":"7","author":"hossein","year":"2014","journal-title":"Global Journal of Health Science"},{"key":"ref12","first-page":"684","author":"dallas","year":"2014","journal-title":"Outlier-based health insurance fraud detection for us medicaid data"},{"key":"ref13","author":"peter","year":"2011","journal-title":"Electronic fraud detection in the US medicaid healthcare program lessons learned from other industries"},{"key":"ref14","article-title":"Healthcare fraud detection: A survey and a clustering model incorporating Geo-location information","author":"qi","year":"2013","journal-title":"29th world continuous auditing and reporting symposium"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.asoc.2015.07.018","article-title":"An interactive machine-learning-based electronic fraud and abuse detection system in healthcare insurance","volume":"36","author":"ilker","year":"2015","journal-title":"Applied Soft Computing"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"1252","DOI":"10.1016\/j.protcy.2013.12.140","article-title":"Predicting healthcare fraud in medicaid: a multidimensional data model and analysis techniques for fraud detection","volume":"9","author":"dallas","year":"2013","journal-title":"Procedia Technology"},{"key":"ref17","author":"gee","year":"2010","journal-title":"The financial cost of healthcare fraud (Internet)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3923\/ajit.2012.40.44"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICROIT.2014.6798341"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/PDGC.2016.7913246"},{"key":"ref3","first-page":"487","author":"boca","year":"0","journal-title":"The VLDB(Very Large Data Bases) Journal"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1108\/02635570110365989","article-title":"A review of data mining techniques","volume":"101","author":"sang","year":"2001","journal-title":"Industrial Management & Data Systems"},{"key":"ref5","article-title":"Outlier detection techniques","volume":"10","author":"hans-peter","year":"2010","journal-title":"Tutorial at KDD"},{"key":"ref8","first-page":"26","article-title":"A Medical Claim Fraud\/Abuse Detection System based on Data Mining: A Case Study in Chile","volume":"6","author":"ortega","year":"2006","journal-title":"DMIN"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1007\/s10729-007-9045-4","article-title":"A survey on statistical methods for health care fraud detection","volume":"11","author":"jing","year":"2008","journal-title":"Health Care Management Science"},{"key":"ref2","article-title":"Fast algorithms for mining association rules","author":"agrawal","year":"1994","journal-title":"Proc 20th Int Conf Very"},{"key":"ref1","year":"1991","journal-title":"National Health Care Anti-Fraud Association (NHCAA) NHCCA Board of Governors"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.eswa.2005.09.003","article-title":"A process-mining framework for the detection of healthcare fraud and abuse","volume":"31","author":"wan-shiou","year":"2006","journal-title":"Expert Systems with Applications"}],"event":{"name":"2017 Tenth International Conference on Contemporary Computing (IC3)","location":"Noida","start":{"date-parts":[[2017,8,10]]},"end":{"date-parts":[[2017,8,12]]}},"container-title":["2017 Tenth International Conference on Contemporary Computing (IC3)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8277262\/8284279\/08284299.pdf?arnumber=8284299","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,10]],"date-time":"2019-10-10T13:10:25Z","timestamp":1570713025000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8284299\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/ic3.2017.8284299","relation":{},"subject":[],"published":{"date-parts":[[2017,8]]}}}