{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T02:24:34Z","timestamp":1771467874366,"version":"3.50.1"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,19]],"date-time":"2022-10-19T00:00:00Z","timestamp":1666137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,19]],"date-time":"2022-10-19T00:00:00Z","timestamp":1666137600000},"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":[[2022,10,19]]},"DOI":"10.1109\/kse56063.2022.9953787","type":"proceedings-article","created":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T21:25:53Z","timestamp":1669065953000},"page":"1-6","source":"Crossref","is-referenced-by-count":4,"title":["A Hybrid Machine Learning Approach in Predicting E-Commerce Supply Chain Risks"],"prefix":"10.1109","author":[{"given":"Nguyen Minh","family":"Tuan","sequence":"first","affiliation":[{"name":"School of IEM HCMIU, VNU-HCM,Ho Chi Minh City,Vietnam"}]},{"given":"Huynh Thi Khanh","family":"Chi","sequence":"additional","affiliation":[{"name":"School of IEM HCMIU, VNU-HCM,Ho Chi Minh City,Vietnam"}]},{"given":"Nguyen","family":"Van Hop","sequence":"additional","affiliation":[{"name":"School of IEM HCMIU, VNU-HCM,Ho Chi Minh City,Vietnam"}]}],"member":"263","reference":[{"key":"ref10","first-page":"31","article-title":"Supervised Machine Learning: A Review of Classification","author":"kotsiantis","year":"2007","journal-title":"Informatica"},{"key":"ref11","article-title":"Understanding random forests: From theory to practice","author":"louppe","year":"2014","journal-title":"University of Liege"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.petrol.2018.06.075"},{"key":"ref13","first-page":"46","article-title":"Gene selection for cancer classification using support vector machines","author":"guyon","year":"2002","journal-title":"Machine Learning"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1201\/9781315108230"},{"key":"ref15","author":"kiran","year":"2017","journal-title":"in International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5120\/1554-2074"},{"key":"ref17","author":"breiman","year":"1984","journal-title":"Classification and Regression Trees"},{"key":"ref18","author":"cestnik","year":"1991","journal-title":"European Working Session on Learning- EWSL87"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1006\/ijhc.1987.0321"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2016.03.014"},{"key":"ref3","first-page":"55","article-title":"Reducing the risk of supply chain disruptions","author":"chopra","year":"2014","journal-title":"MIT Sloan Management Review"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/su9040608"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2014.974838"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2019.03.004"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.07.059"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2018.1530476"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2013.142"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2019.09.015"},{"key":"ref20","author":"hastie","year":"2009","journal-title":"The Elements of Statistical Learning Data Mining Inference and Prediction"}],"event":{"name":"2022 14th International Conference on Knowledge and Systems Engineering (KSE)","location":"Nha Trang, Vietnam","start":{"date-parts":[[2022,10,19]]},"end":{"date-parts":[[2022,10,21]]}},"container-title":["2022 14th International Conference on Knowledge and Systems Engineering (KSE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9953734\/9953612\/09953787.pdf?arnumber=9953787","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:52:47Z","timestamp":1670874767000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9953787\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,19]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/kse56063.2022.9953787","relation":{},"subject":[],"published":{"date-parts":[[2022,10,19]]}}}