{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T12:00:32Z","timestamp":1753358432228,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":11,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811617805"},{"type":"electronic","value":"9789811617812"}],"license":[{"start":{"date-parts":[[2021,9,10]],"date-time":"2021-09-10T00:00:00Z","timestamp":1631232000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,9,10]],"date-time":"2021-09-10T00:00:00Z","timestamp":1631232000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-981-16-1781-2_54","type":"book-chapter","created":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T15:05:30Z","timestamp":1631199930000},"page":"609-618","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Using Big Data to Compare Classification Models for Household Credit Rating in Kuwait"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1502-7268","authenticated-orcid":false,"given":"Najla","family":"Albarrak","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5820-3781","authenticated-orcid":false,"given":"Hessa","family":"Alsanousi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0947-9495","authenticated-orcid":false,"given":"Irene","family":"Moulitsas","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5859-7538","authenticated-orcid":false,"given":"Salvatore","family":"Filippone","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,10]]},"reference":[{"key":"54_CR1","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.knosys.2011.06.020","volume":"26","author":"G Wang","year":"2012","unstructured":"Wang G, Ma J, Huang L, Xu K (2012) Two credit scoring models based on dual strategy ensemble trees. Knowl-Based Syst 26:61\u201368. https:\/\/doi.org\/10.1016\/j.knosys.2011.06.020","journal-title":"Knowl-Based Syst"},{"key":"54_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.5089\/9781498314428.001","volume":"19","author":"M Bazarbash","year":"2019","unstructured":"Bazarbash M (2019) FinTech in financial inclusion: machine learning applications in assessing credit risk. IMF Work Pap 19:1. https:\/\/doi.org\/10.5089\/9781498314428.001","journal-title":"IMF Work Pap"},{"key":"54_CR3","unstructured":"Petropoulos A, Siakoulis V, Stavroulakis E, Klamargias A (2018) A robust machine learning approach for credit risk analysis of large loan level datasets using deep learning and extreme gradient boosting. use big data. Anal Artif Intell Cent Bank 50:30\u201331"},{"key":"54_CR4","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1057\/palgrave.jors.2601545","volume":"54","author":"B Baesens","year":"2003","unstructured":"Baesens B, Van Gestel T, Viaene S, Stepanova M, Suykens J, Vanthienen J (2003) Benchmarking state-of-the-art classification algorithms for credit scoring. J Oper Res Soc 54:627\u2013635. https:\/\/doi.org\/10.1057\/palgrave.jors.2601545","journal-title":"J Oper Res Soc"},{"key":"54_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/su11030699","volume":"11","author":"L Munkhdalai","year":"2019","unstructured":"Munkhdalai L, Munkhdalai T, Namsrai OE, Lee JY, Ryu KH (2019) An empirical comparison of machine-learning methods on bank client credit assessments. Sustain 11:1\u201323. https:\/\/doi.org\/10.3390\/su11030699","journal-title":"Sustain"},{"key":"54_CR6","doi-asserted-by":"publisher","unstructured":"Seiffert C, Khoshgoftaar TM, Van Hulse J, Napolitano A (2010) RUSBoost: a hybrid approach to alleviating class imbalance. IEEE Trans Syst Man Cybern Part A Syst Human 40:185\u2013197. https:\/\/doi.org\/10.1109\/TSMCA.2009.2029559","DOI":"10.1109\/TSMCA.2009.2029559"},{"key":"54_CR7","first-page":"1340","volume":"03","author":"K Nyathi","year":"2014","unstructured":"Nyathi K, Ndlovu S, Moyo S, Nyathi T (2014) Optimisation of the linear probability model for credit risk management. Int J Comput Inf Technol 03:1340\u20131345","journal-title":"Int J Comput Inf Technol"},{"key":"54_CR8","first-page":"1","volume":"2","author":"A Samreen","year":"2013","unstructured":"Samreen A, Zaidi FB, Sarwar A (2013) Design and development of credit scoring model for the commercial banks of Pakistan: forecasting creditworthiness of individual borrowers. Int J Bus Soc Sci 2:1\u201326","journal-title":"Int J Bus Soc Sci"},{"key":"54_CR9","doi-asserted-by":"publisher","first-page":"3446","DOI":"10.1016\/j.eswa.2011.09.033","volume":"39","author":"I Brown","year":"2012","unstructured":"Brown I, Mues C (2012) An experimental comparison of classification algorithms for imbalanced credit scoring data sets. Expert Syst Appl 39:3446\u20133453. https:\/\/doi.org\/10.1016\/j.eswa.2011.09.033","journal-title":"Expert Syst Appl"},{"key":"54_CR10","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/s00038-011-0315-z","volume":"57","author":"N Speybroeck","year":"2012","unstructured":"Speybroeck N (2012) Classification and regression trees. Int J Public Health 57:243\u2013246. https:\/\/doi.org\/10.1007\/s00038-011-0315-z","journal-title":"Int J Public Health"},{"key":"54_CR11","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/S0167-9473(01)00065-2","volume":"38","author":"JH Friedman","year":"2002","unstructured":"Friedman JH (2002) Stochastic gradient boosting. Comput Stat Data Anal 38:367\u2013378. https:\/\/doi.org\/10.1016\/S0167-9473(01)00065-2","journal-title":"Comput Stat Data Anal"}],"container-title":["Lecture Notes in Networks and Systems","Proceedings of Sixth International Congress on Information and Communication Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-1781-2_54","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,8]],"date-time":"2022-02-08T17:01:50Z","timestamp":1644339710000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-1781-2_54"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,10]]},"ISBN":["9789811617805","9789811617812"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-1781-2_54","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2021,9,10]]},"assertion":[{"value":"10 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}