{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T01:11:55Z","timestamp":1726017115690},"reference-count":30,"publisher":"Elsevier BV","issue":"3","license":[{"start":{"date-parts":[[2020,2,1]],"date-time":"2020-02-01T00:00:00Z","timestamp":1580515200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71701035","71831003"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002338","name":"Ministry of Education of the People's Republic of China","doi-asserted-by":"publisher","award":["18YJC630220"],"id":[{"id":"10.13039\/501100002338","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["JBK1805005","JBK190504"],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Operational Research"],"published-print":{"date-parts":[[2020,2]]},"DOI":"10.1016\/j.ejor.2019.08.010","type":"journal-article","created":{"date-parts":[[2019,8,9]],"date-time":"2019-08-09T23:42:23Z","timestamp":1565394143000},"page":"1008-1017","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":65,"title":["Unsupervised quadratic surface support vector machine with application to credit risk assessment"],"prefix":"10.1016","volume":"280","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-8808-8948","authenticated-orcid":false,"given":"Jian","family":"Luo","sequence":"first","affiliation":[]},{"given":"Xin","family":"Yan","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-5788-4009","authenticated-orcid":false,"given":"Ye","family":"Tian","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.ejor.2019.08.010_bib0001","doi-asserted-by":"crossref","first-page":"1329","DOI":"10.1007\/s00521-016-2567-2","article-title":"Improve credit scoring using transfer of learned knowledge from self-organizing map","volume":"28","author":"AghaeiRad","year":"2017","journal-title":"Neural Computation & Application"},{"key":"10.1016\/j.ejor.2019.08.010_bib0002","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.neucom.2012.11.023","article-title":"Fuzzy support vector machine based on within-class scatter for classification problems with outliers or noises","volume":"110","author":"An","year":"2013","journal-title":"Neurocomputing"},{"key":"10.1016\/j.ejor.2019.08.010_bib0003","doi-asserted-by":"crossref","first-page":"6351","DOI":"10.1016\/j.apm.2015.01.044","article-title":"Semisupervised spherical separation","volume":"39","author":"Astorino","year":"2015","journal-title":"Applied Mathematical Modelling"},{"key":"10.1016\/j.ejor.2019.08.010_bib0004","first-page":"265","article-title":"Optimality of the symmetric fibonacci search technique","volume":"3","author":"Avriel","year":"1966","journal-title":"Fibonacci Quarterly"},{"key":"10.1016\/j.ejor.2019.08.010_bib0005","unstructured":"Bache, K., & Lichman, M. (2013). UCI machine learning repository. http:\/\/archive.ics.uci.edu\/ml."},{"key":"10.1016\/j.ejor.2019.08.010_bib0006","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.patcog.2008.07.004","article-title":"Soft clustering using weighted one-class support vector machines","volume":"42","author":"Bicego","year":"2009","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.ejor.2019.08.010_bib0007","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/j.ejor.2018.11.024","article-title":"Functional-bandwidth kernel for support vector machine with functional data: an alternating optimization algorithm","volume":"275","author":"Blanquero","year":"2019","journal-title":"European Journal of Operational Research"},{"key":"10.1016\/j.ejor.2019.08.010_bib0008","doi-asserted-by":"crossref","first-page":"801","DOI":"10.1109\/TPAMI.2005.88","article-title":"A novel kernel method for clustering","volume":"27","author":"Camastra","year":"2005","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.ejor.2019.08.010_bib0009","series-title":"Proceedings of the 2nd international conference on biomedical engineering and informatics","article-title":"N-dimension golden section search: its variants and limitations","author":"Chang","year":"2009"},{"key":"10.1016\/j.ejor.2019.08.010_bib0010","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.ejor.2016.05.020","article-title":"A multi-kernel support tensor machine for classification with multitype multiway data and an application to cross-selling recommendations","volume":"255","author":"Chen","year":"2016","journal-title":"European Journal of Operational Research"},{"key":"10.1016\/j.ejor.2019.08.010_bib0011","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support-vector networks","volume":"20","author":"Cortes","year":"1995","journal-title":"Machine Learning"},{"key":"10.1016\/j.ejor.2019.08.010_bib0012","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1007\/s10957-015-0818-5","article-title":"Unsupervised and semisupervised classification via absolute value inequalities","volume":"168","author":"Fung","year":"2016","journal-title":"Journal of Optimization Theory and Applications"},{"key":"10.1016\/j.ejor.2019.08.010_bib0013","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1016\/j.ejor.2017.08.040","article-title":"High dimensional data classification and feature selection using support vector machines","volume":"265","author":"Ghaddar","year":"2018","journal-title":"European Journal of Operational Research"},{"key":"10.1016\/j.ejor.2019.08.010_bib0014","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1109\/TPAMI.2002.1017616","article-title":"An efficient k-means clustering algorithm: analysis and implementation","volume":"24","author":"Kanungo","year":"2002","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.ejor.2019.08.010_bib0015","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/BF00337288","article-title":"Self-organized formation of topologically correct feature maps","volume":"43","author":"Kohonen","year":"1982","journal-title":"Biological Cybernetics"},{"key":"10.1016\/j.ejor.2019.08.010_bib0016","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.jretconser.2015.07.003","article-title":"A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring","volume":"27","author":"Koutanaei","year":"2015","journal-title":"Journal of Retailing and Consumer Services"},{"key":"10.1016\/j.ejor.2019.08.010_bib0017","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.ejor.2015.05.030","article-title":"Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research","volume":"247","author":"Lessmann","year":"2015","journal-title":"European Journal of Operational Research"},{"key":"10.1016\/j.ejor.2019.08.010_bib0018","doi-asserted-by":"crossref","first-page":"1650046","DOI":"10.1142\/S0217595916500469","article-title":"Quadratic surface support vector machine for binary classification","volume":"33","author":"Luo","year":"2016","journal-title":"Asia-Pacific Journal of Operational Research"},{"key":"10.1016\/j.ejor.2019.08.010_bib0019","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.ijforecast.2017.08.004","article-title":"Benchmarking robustness of load forecasting models under data integrity attacks","volume":"34","author":"Luo","year":"2018","journal-title":"International Journal of Forecasting"},{"key":"10.1016\/j.ejor.2019.08.010_bib0020","doi-asserted-by":"crossref","first-page":"5859","DOI":"10.1007\/s00500-016-2462-x","article-title":"Clustering via fuzzy one-class quadratic surface support vector machine","volume":"21","author":"Luo","year":"2017","journal-title":"Soft Computing"},{"key":"10.1016\/j.ejor.2019.08.010_bib0021","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1016\/j.ejor.2017.02.037","article-title":"Cost-based feature selection for support vector machines: An application in credit scoring","volume":"261","author":"Maldonado","year":"2017","journal-title":"European Journal of Operational Research"},{"key":"10.1016\/j.ejor.2019.08.010_bib0022","doi-asserted-by":"crossref","first-page":"558","DOI":"10.1109\/72.238311","article-title":"Neural-gas network for vector quantization and its application to time-series prediction","volume":"4","author":"Martinetz","year":"1993","journal-title":"IEEE Transactions on Neural Networks"},{"key":"10.1016\/j.ejor.2019.08.010_bib0023","doi-asserted-by":"crossref","first-page":"664","DOI":"10.1016\/j.ejor.2018.05.024","article-title":"Improving corporate bond recovery rate prediction using multi-factor support vector regressions","volume":"271","author":"Nazemi","year":"2018","journal-title":"European Journal of Operational Research"},{"key":"10.1016\/j.ejor.2019.08.010_bib0024","first-page":"558","article-title":"On spectral clustering: analysis and an algorithm","volume":"14","author":"Ng","year":"2001","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.ejor.2019.08.010_bib0025","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/0377-2217(83)90153-4","article-title":"Fractional programming","volume":"12","author":"Schaible","year":"1983","journal-title":"European Journal of Operational Research"},{"key":"10.1016\/j.ejor.2019.08.010_bib0026","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1080\/1055678031000105242","article-title":"Fractional programming: The sum-of-ratios case","volume":"18","author":"Schaible","year":"2003","journal-title":"Optimization Methods and Software"},{"key":"10.1016\/j.ejor.2019.08.010_bib0027","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/s10107-018-1235-y","article-title":"DC programming and DCA: Thirty years of developments","volume":"169","author":"Thi","year":"2018","journal-title":"Mathematical Programming"},{"key":"10.1016\/j.ejor.2019.08.010_bib0028","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1016\/j.ejor.2017.12.001","article-title":"A support vector machine-based ensemble algorithm for breast cancer diagnosis","volume":"267","author":"Wang","year":"2018","journal-title":"European Journal of Operational Research"},{"key":"10.1016\/j.ejor.2019.08.010_bib0029","doi-asserted-by":"crossref","first-page":"1001","DOI":"10.1057\/jors.2015.89","article-title":"A kernel-free quadratic surface support vector machine for semi-supervised learning","volume":"67","author":"Yan","year":"2016","journal-title":"Journal of the Operational Research Society"},{"key":"10.1016\/j.ejor.2019.08.010_bib0030","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1142\/S0219622009003582","article-title":"Credit scoring models with AUC maximization based on weighted SVM","volume":"4","author":"Zhou","year":"2009","journal-title":"International Journal of Information Technology and Decision Making"}],"container-title":["European Journal of Operational Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0377221719306630?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0377221719306630?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T11:13:02Z","timestamp":1656587582000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0377221719306630"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2]]},"references-count":30,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,2]]}},"alternative-id":["S0377221719306630"],"URL":"https:\/\/doi.org\/10.1016\/j.ejor.2019.08.010","relation":{},"ISSN":["0377-2217"],"issn-type":[{"value":"0377-2217","type":"print"}],"subject":[],"published":{"date-parts":[[2020,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Unsupervised quadratic surface support vector machine with application to credit risk assessment","name":"articletitle","label":"Article Title"},{"value":"European Journal of Operational Research","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejor.2019.08.010","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}