{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T08:27:00Z","timestamp":1751963220325,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811536069"},{"type":"electronic","value":"9789811536076"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-15-3607-6_12","type":"book-chapter","created":{"date-parts":[[2020,5,22]],"date-time":"2020-05-22T11:03:09Z","timestamp":1590145389000},"page":"151-162","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Prediction of Financial Distress in Bangladesh\u2019s Banking Sector Using Data Mining and Machine-Learning Technique"],"prefix":"10.1007","author":[{"given":"Mohammed Mahmudur","family":"Rahman","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zinnia","family":"Sultana","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Musrat","family":"Jahan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramis","family":"Fariha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,5,23]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Khan UE (2016) Bankruptcy prediction for financial sector of pakistan: evaluation of logit and discriminant analysis approaches. Pak J Eng Technol Sci (PJETS) 6(2). (Dec 2016)","DOI":"10.22555\/pjets.v6i2.1966"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Gilbert LR, Menon K, Kenneth B, Schwartz Predicting bankruptcy for firms in financial distress. J Bus Financ Account 17(1)","DOI":"10.1111\/j.1468-5957.1990.tb00555.x"},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"Altman EI (1968) Financial ratio, discrimininant analysis and the prediction of corporate bankruptcy. J Financ 23(4):589\u2013609","DOI":"10.1111\/j.1540-6261.1968.tb00843.x"},{"key":"12_CR4","unstructured":"Chotalia P (2012) Evaluation of financial health of sampled private sector banks with altman Z-score model, circulation in more than 85 countries. p 7"},{"key":"12_CR5","unstructured":"Abdullah M (2015) An empirical analysis of liquidity, profitability and solvency of Bangladeshi banks"},{"issue":"6","key":"12_CR6","first-page":"13","volume":"43","author":"T Ahmed","year":"2015","unstructured":"Ahmed T, Alam S (2015) Prediction of financial distress in banking companies of Bangladesh and a need for regulation by FRC. Cost Manag 43(6):13\u201319","journal-title":"Cost Manag"},{"key":"12_CR7","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1016\/j.eswa.2018.09.039","volume":"117","author":"T Hosaka","year":"2019","unstructured":"Hosaka T (2019) Bankruptcy prediction using imaged financial ratios and convolutional neural networks. Expert Syst Appl 117:287\u2013299","journal-title":"Expert Syst Appl"},{"key":"12_CR8","unstructured":"Al-Shayea QK, El-Refae GA, El-Itter SF (2010) Neural networks in bank insolvency prediction. Int J Comput Sci Netw Secur 10(5):240\u2013245"},{"issue":"3","key":"12_CR9","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1016\/j.ijforecast.2018.01.009","volume":"34","author":"P Gogas","year":"2018","unstructured":"Gogas P, Papadimitriou T, Agrapetidou A (2018) Forecasting bank failures and stress testing: a machine learning approach. Int J Forecast 34(3):440\u2013455","journal-title":"Int J Forecast"},{"key":"12_CR10","unstructured":"Le\u00f3n C, Moreno GF, Cely J Whose balance sheet is this? neural networks for banks\u2019 pattern recognition. Research gate"},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Brockett PL, Cooper WW, Golden LL, Pitaktong U (1994) A neural network method for obtaining an early warning of insurer insolvency.J Risk Insur 61(3):402\u2013424","DOI":"10.2307\/253568"},{"issue":"2","key":"12_CR12","doi-asserted-by":"publisher","first-page":"3355","DOI":"10.1016\/j.eswa.2008.01.003","volume":"36","author":"MA Boyacioglu","year":"2009","unstructured":"Boyacioglu MA, Kara Y, Baykan \u00d6K (2009) Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey. Expert Syst Appl 36(2):3355\u20133366","journal-title":"Expert Syst Appl"},{"issue":"2","key":"12_CR13","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 et al (2011) Detection of financial statement fraud and feature selection using data mining techniques. Decis Support Syst 50(2):491\u2013500","journal-title":"Decis Support Syst"},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Tania, farzana, and Naharin (2016) Prediction of financial distress of non-bank financial institutions of Bangladesh using Altman\u2019s Z-score mode. Int J Bus Manag 11(12)","DOI":"10.5539\/ijbm.v11n12p261"},{"key":"12_CR15","unstructured":"Mostofa S, Sonia, Salim (2016) Predicting the financial distress in the banking industry of Bangladesh: a case study on private commercial banks. Aust Acad Account Financ Rev 2(1)"},{"key":"12_CR16","unstructured":"Afroza, Benazir, Alrafa (2016) Prediction of financial health of banking industry in Bangladesh using Altman Z-score: a comparison between state-owned bank and private commercial bank. Research gate"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Zhang G, Hu MY, Patuwo BE, Indro DC Artificial neural networks in bankruptcy prediction: general framework and cross-validation analysis. Eur J Oper Res 116","DOI":"10.1016\/S0377-2217(98)00051-4"},{"issue":"4","key":"12_CR18","doi-asserted-by":"publisher","first-page":"3373","DOI":"10.1016\/j.eswa.2009.10.012","volume":"37","author":"M-J Kim","year":"2010","unstructured":"Kim M-J, Kang D-K (2010) Ensemble with neural networks for bankruptcy prediction. Expert Syst Appl 37(4):3373\u20133379","journal-title":"Expert Syst Appl"},{"key":"12_CR19","unstructured":"Shiliang, Changshui, Guoqiang (2006) A Bayesian network approach to Traffic flow forecasting, vol 7, no 1"},{"issue":"1","key":"12_CR20","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.eswa.2004.08.009","volume":"28","author":"K-S Shin","year":"2005","unstructured":"Shin K-S, Lee TS, Kim H-J (2005) An application of support vector machines in bankruptcy prediction model. Expert Syst Appl 28(1):127\u2013135","journal-title":"Expert Syst Appl"},{"issue":"1","key":"12_CR21","doi-asserted-by":"publisher","first-page":"16","DOI":"10.18034\/ajtp.v1i1.357","volume":"1","author":"A Mizan","year":"2014","unstructured":"Mizan A, Hossain M (2014) Financial soundness of cement industry of Bangladesh: an empirical investigation using Z-score. Am J Trade Policy 1(1):16\u201322","journal-title":"Am J Trade Policy"},{"key":"12_CR22","doi-asserted-by":"crossref","unstructured":"Gepp A, Kumar K (2015) Predicting financial distress: a comparison of survival analysis and decision tree techniques. Elsevier","DOI":"10.1016\/j.procs.2015.06.046"},{"key":"12_CR23","unstructured":"Chu, Ali, Islam M (2011) The current state of the financial sector of Bangladesh: an analysis. Reseaech gate"}],"container-title":["Algorithms for Intelligent Systems","Proceedings of International Joint Conference on Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-3607-6_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,28]],"date-time":"2020-09-28T16:27:26Z","timestamp":1601310446000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-3607-6_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811536069","9789811536076"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-3607-6_12","relation":{},"ISSN":["2524-7565","2524-7573"],"issn-type":[{"type":"print","value":"2524-7565"},{"type":"electronic","value":"2524-7573"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"23 May 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}