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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

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

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

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

Construction of regression models predicting lead times and classification models

Olszewski, Paweł; Gilejko, Leszek; Rakova, Natalia; … - In: European research studies 27 (2024), pp. 179-189

Persistent link: https://www.econbiz.de/10014543796

Adversarial robustness for latent models : revisiting the robust-standard accuracies tradeoff

Javanmard, Adel; Mehrabi, Mohammad - In: Operations research 72 (2024) 3, pp. 1016-1030

Persistent link: https://www.econbiz.de/10014557444

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

Improved stock price forecasting by streamlining indicators : an approach via feature selection and classification

Sheikhzadeh, Mohammad Javad; Rahmany, Sajjad - In: International journal of computational economics and … 14 (2024) 1, pp. 42-60

Persistent link: https://www.econbiz.de/10015062774