{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T15:14:13Z","timestamp":1767453253103,"version":"3.28.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T00:00:00Z","timestamp":1698278400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T00:00:00Z","timestamp":1698278400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,26]]},"DOI":"10.1109\/ict4da59526.2023.10302229","type":"proceedings-article","created":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T19:07:12Z","timestamp":1699297632000},"page":"61-66","source":"Crossref","is-referenced-by-count":3,"title":["Detecting Fraud in Motor Insurance Claims Using XGBoost Algorithm with SMOTE"],"prefix":"10.1109","author":[{"given":"David Gichohi","family":"Maina","sequence":"first","affiliation":[{"name":"Dedan Kimathi University of Technology,Department of Computer Science,Nyeri,Kenya"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juliet Chebet","family":"Moso","sequence":"additional","affiliation":[{"name":"Dedan Kimathi University of Technology,Department of Computer Science,Nyeri,Kenya"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick Kinyua","family":"Gikunda","sequence":"additional","affiliation":[{"name":"Dedan Kimathi University of Technology,Department of Computer Science,Nyeri,Kenya"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.05.001"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/SPICES52834.2022.9774071"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.01.057"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2018.02.021"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/SIU53274.2021.9477812"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/INCAE.2018.8579155"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3096799"},{"key":"ref2","first-page":"1","article-title":"Performance com-parative study of machine learning algorithms for automobile insurance fraud detection","author":"itri","year":"2019","journal-title":"2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS)"},{"key":"ref1","article-title":"Motor insurance fraudulent claims: An overview reconnaissance","volume":"25","author":"remli","year":"2021","journal-title":"International Journal of Business Economics and Law"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICVES.2019.8906396"},{"key":"ref16","article-title":"A new approach for detecting credit card fraud transaction","author":"cho","year":"2023","journal-title":"International Journal of Nonlinear Analysis and Applications"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IWBIS50925.2020.9255426"},{"journal-title":"Fraud detection in the insurance using decision tree naive bayesian and support vector machine data mining algorithms (case study-automobile's body insurance)","year":"2016","author":"goleiji","key":"ref18"},{"journal-title":"Vehicle insurance claim fraud detection - kaggle","year":"2021","author":"bansal","key":"ref24"},{"key":"ref23","doi-asserted-by":"crossref","DOI":"10.3390\/electronics12040913","article-title":"Handling class imbalance and class overlap in machine learning applications for undeclared work prediction","volume":"12","author":"alogogianni","year":"2023","journal-title":"Electronics"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s41870-022-00987-w"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-021-00655-z"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.promfg.2020.05.012"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.procs.2020.06.014","article-title":"Credit card fraud detection using pipeling and ensemble learning","volume":"173","author":"bagga","year":"2020","journal-title":"Procedia Computer Science"},{"key":"ref28","first-page":"63","article-title":"Feature selection methods for intrusion detection using machine learning methods","volume":"21","author":"parlar","year":"2022","journal-title":"Selcuk University Journal of Engineering Sciences"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3199425"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/cancers15030625"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1111\/jori.12340"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2021.100402"},{"journal-title":"Fraudulent insurance claims detection using machine learning","year":"2022","author":"alrais","key":"ref9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.14453\/aabfj.v16i1.7"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICICCT.2018.8473034"},{"key":"ref6","first-page":"392","article-title":"Detecting fraud in insurance companies and solutions to fight it using coverage data in the covid 19 pandemic","volume":"18","author":"ayboga","year":"2021","journal-title":"PalArch's Journal of Archaeology of Egypt\/Egyptology"},{"key":"ref5","first-page":"79","article-title":"Disclosing the practice of whistleblowing system in indonesiaas public listed companies","volume":"18","author":"rani","year":"2022","journal-title":"Inovasi"}],"event":{"name":"2023 International Conference on Information and Communication Technology for Development for Africa (ICT4DA)","start":{"date-parts":[[2023,10,26]]},"location":"Bahir Dar, Ethiopia","end":{"date-parts":[[2023,10,28]]}},"container-title":["2023 International Conference on Information and Communication Technology for Development for Africa (ICT4DA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10302181\/10302182\/10302229.pdf?arnumber=10302229","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T19:13:12Z","timestamp":1702321992000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10302229\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,26]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/ict4da59526.2023.10302229","relation":{},"subject":[],"published":{"date-parts":[[2023,10,26]]}}}