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(ICICCS)","first-page":"945","article-title":"A state of art techniques on machine learning algorithms: A perspective of supervised learning approaches in data classification","author":"Saravanan","year":"Jun. 14\u201315, 2018"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"02001","DOI":"10.1051\/bioconf\/20248402001","article-title":"Using machine learning algorithms to solve data classification problems using multi-attribute dataset","volume":"84","author":"Borodulin","year":"Jan. 2024","journal-title":"BIO Web Conf."},{"key":"ref23","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1080\/19361610.2022.2114744","article-title":"Predicting money laundering using machine learning and artificial neural networks algorithms in banks","volume":"19","author":"Lokanan","year":"Aug. 2022","journal-title":"J. Appl. Secur. Res."},{"key":"ref24","first-page":"99","article-title":"Big data project-bank marketing campaign","volume":"21","author":"Wu","year":"2021","journal-title":"Rev. Appl. Socio-Econ. Res."},{"key":"ref25","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.dss.2014.03.001","article-title":"A data driven approach to predict the success of bank telemarketing","volume":"62","author":"Moro","year":"Jun. 2014","journal-title":"Decis. Support Syst."},{"key":"ref26","unstructured":"K. Wlodarczyk and K. S. Ikani, \u201cData analysis of a Portuguese marketing campaign using bank marketing dataset,\u201d 2020, Accessed: Aug. 10, 2023. [Online]. Available: https:\/\/www.researchgate.net\/publication\/339988208"},{"key":"ref27","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2022.108874","article-title":"How to improve the success of bank telemarketing? 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