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Analysis of uranium supply to 2050

2001

Persistent link: https://www.econbiz.de/10013203921

Energy resources in an uncertain future : coal, gas, oil, and uranium supply forecasting

Houghton, John C.; Kaufman, Gordon; Zimmerman, Martin B. - 1983

Persistent link: https://www.econbiz.de/10013542453

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

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

Predicting student performance : a classification model using machine learning algorithms

Alshdaifat, Esra'a; Zaid, Aisha; Alshdaifat, Ala'a - In: International journal of business information systems : … 39 (2022) 3, pp. 349-364

Persistent link: https://www.econbiz.de/10013198420

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

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

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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

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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