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Machine learning-based classifiers ensemble for credit risk assessment

Pandey, Trilok Nath; Jagadev, Alok Kumar; Choudhury, D.; … - In: International journal of electronic finance : IJEF 7 (2013) 3/4, pp. 227-249

Persistent link: https://www.econbiz.de/10010400393

Associative classification apporaches : review and comparison

Abdelhamid, Neda; Thabtah, Fadi - In: Journal of information & knowledge management : JIKM 13 (2014) 3, pp. 1-30

Persistent link: https://www.econbiz.de/10010438960

Insolvency prediction in the presence of data inconsistencies

Mendes, A.; Cardoso, R. L.; Mário, P. C.; Martinez, A. L. - In: Intelligent systems in accounting finance and … 21 (2014) 3, pp. 155-167

Persistent link: https://www.econbiz.de/10011348621

Applying machine learning algorithms to determine and predict the reasons and models for employee turnover

Shankar, Shardul; Vyas, Ranjana; Tewari, Vijayshri - In: International journal of information technology and … 23 (2024) 1, pp. 48-63

Persistent link: https://www.econbiz.de/10015064845

Managing uncertainty in ferry terminals : a machine learning approach

Ansorena, Iñigo L.; Lopez Ansorena, César - In: International journal of business information systems : … 33 (2020) 2, pp. 285-297

Persistent link: https://www.econbiz.de/10012172529

When algorithmic predictions use human-generated data : a bias-aware classification algorithm for breast cancer diagnosis

Ahsen, Mehmet Eren; Ayvaci, Mehmet Ulvi Saygi; … - In: Information systems research : ISR 30 (2019) 1, pp. 97-116

Persistent link: https://www.econbiz.de/10012038210

A hybrid classification-based model for automatic text summarisation using machine learning approaches : CBS-ID3MV

Hannah, M. Esther - In: International journal of product development : IJPD 23 (2019) 2/3, pp. 201-211

Persistent link: https://www.econbiz.de/10012105699

Machine learning methods for quality prediction in production

Sankhye, Sidharth; Hu, Guiping - In: Logistics 4 (2020) 4/35, pp. 1-19

production stages. Thus, supervised machine learning methods such as classification can viably predict product compliance quality … manufacturing processes, the adoption of classification methods to predict the overall compliance of production batches has not been … extensively investigated. This paper aims to design machine learning based classification methods for quality compliance and …

Persistent link: https://www.econbiz.de/10012426118

Forecasting consumer credit recovery failure : classification approaches

Kim, Hyeongjun; Cho, Hoon; Ryu, Doojin - In: The journal of credit risk : published quarterly by … 17 (2021) 3, pp. 117-140

Persistent link: https://www.econbiz.de/10012816939

Classification and association rule mining technique for predicting chronic kidney disease

Alaid, Ahmad; Najadat, Hassan; Mohsen, Belal; Balhaf, Khaled - In: Journal of information & knowledge management : JIKM 19 (2020) 1, pp. 2040015-1-2040015-17

Persistent link: https://www.econbiz.de/10012292640