{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:32:07Z","timestamp":1743136327210,"version":"3.40.3"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031777370"},{"type":"electronic","value":"9783031777387"}],"license":[{"start":{"date-parts":[[2024,11,14]],"date-time":"2024-11-14T00:00:00Z","timestamp":1731542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,14]],"date-time":"2024-11-14T00:00:00Z","timestamp":1731542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-77738-7_46","type":"book-chapter","created":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T16:40:49Z","timestamp":1732034449000},"page":"543-554","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Data Mining in Credit Card Approval: Feature Importance Testing Comparison"],"prefix":"10.1007","author":[{"given":"Qingyu","family":"Ye","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1848-7246","authenticated-orcid":false,"given":"Simon","family":"Fong","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0005-0495-8771","authenticated-orcid":false,"given":"Jiahui","family":"Yu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9699-1894","authenticated-orcid":false,"given":"Antonio J.","family":"Tall\u00f3n-Ballesteros","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,14]]},"reference":[{"issue":"4","key":"46_CR1","doi-asserted-by":"publisher","first-page":"362","DOI":"10.3934\/DSFE.2021020","volume":"1","author":"H Liu","year":"2021","unstructured":"Liu, H., Huang, S., Wang, P., et al.: A review of data mining methods in financial markets. Data Sci. Financ. Econ. 1(4), 362\u2013392 (2021)","journal-title":"Data Sci. Financ. Econ."},{"issue":"4","key":"46_CR2","doi-asserted-by":"publisher","first-page":"932","DOI":"10.1108\/JM2-01-2017-0002","volume":"13","author":"S Khemakhem","year":"2018","unstructured":"Khemakhem, S., Said, F.B., Boujelbene, Y.: Credit risk assessment for unbalanced datasets based on data mining, artificial neural network and support vector machines. J. Model. Manag. 13(4), 932\u2013951 (2018)","journal-title":"J. Model. Manag."},{"issue":"3","key":"46_CR3","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1108\/RAF-07-2017-0143","volume":"17","author":"S Khemakhem","year":"2018","unstructured":"Khemakhem, S., Boujelbene, Y.: Predicting credit risk on the basis of financial and non-financial variables and data mining. Rev. Acc. Financ. 17(3), 316\u2013340 (2018)","journal-title":"Rev. Acc. Financ."},{"issue":"8","key":"46_CR4","first-page":"84","volume":"20","author":"T Saeed","year":"2020","unstructured":"Saeed, T.: The application of data mining techniques for financial risk management: a classification framework. IJCSNS 20(8), 84 (2020)","journal-title":"IJCSNS"},{"issue":"4","key":"46_CR5","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1002\/isaf.1395","volume":"23","author":"S Lahmiri","year":"2016","unstructured":"Lahmiri, S.: Features selection, data mining and financial risk classification: a comparative study. Intell. Syst. Account. Financ. Manag. 23(4), 265\u2013275 (2016)","journal-title":"Intell. Syst. Account. Financ. Manag."},{"issue":"2","key":"46_CR6","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1016\/j.dss.2010.11.006","volume":"50","author":"P Ravisankar","year":"2011","unstructured":"Ravisankar, P., Ravi, V., Rao, G.R., et al.: Detection of financial statement fraud and feature selection using data mining techniques. Decis. Support Syst. 50(2), 491\u2013500 (2011)","journal-title":"Decis. Support Syst."},{"issue":"4","key":"46_CR7","doi-asserted-by":"publisher","first-page":"2052","DOI":"10.1016\/j.eswa.2013.09.004","volume":"41","author":"S Oreski","year":"2014","unstructured":"Oreski, S., Oreski, G.: Genetic algorithm-based heuristic for feature selection in credit risk assessment. Expert Syst. Appl. 41(4), 2052\u20132064 (2014)","journal-title":"Expert Syst. Appl."},{"key":"46_CR8","unstructured":"Jin M, Wang Y, Zeng Y. Application of data mining technology in financial risk"},{"key":"46_CR9","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1007\/s10115-013-0679-x","volume":"41","author":"E \u0160trumbelj","year":"2014","unstructured":"\u0160trumbelj, E., Kononenko, I.: Explaining prediction models and individual predictions with feature contributions. Knowl. Inf. Syst. 41, 647\u2013665 (2014)","journal-title":"Knowl. Inf. Syst."}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-77738-7_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T16:51:45Z","timestamp":1732035105000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-77738-7_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,14]]},"ISBN":["9783031777370","9783031777387"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-77738-7_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,14]]},"assertion":[{"value":"14 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IDEAL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Data Engineering and Automated Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Valencia","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ideal2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}