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An efficient FLANN model with CRO-based gradient descent learning for classification
Naik, Bighnaraj; Nayak, Janmenjoy; Behera, Himansu Sekhar - In: International journal of business information systems : … 21 (2016) 1, pp. 73-116
Persistent link: https://www.econbiz.de/10011520250
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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
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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
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Accuracy analysis of various classification algorithms for used land
Kumar, N. Suresh; Arun, M. - In: International journal of enterprise network management 7 (2016) 2, pp. 113-132
Persistent link: https://www.econbiz.de/10011641907
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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
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Data mining approach for predicting student performance
Osmanbegović, Edin; Suljić, Mirza - In: Economic review : journal of economics & business 10 (2012) 1, pp. 3-12
Although data mining has been successfully implemented in the business world for some time now, its use in higher education is still relatively new, i.e. its use is intended for identification and extraction of new and potentially valuable knowledge from the data. Using data mining the aim was...
Persistent link: https://www.econbiz.de/10012010545
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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
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Modelling and predicting student's academic performance using classification data mining techniques
Raza Hasan; Sellappan Palaniappan; Salman Mahmood; … - In: International journal of business information systems : … 34 (2020) 3, pp. 403-422
Persistent link: https://www.econbiz.de/10012253494
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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
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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