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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

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

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

Base model combination algorithm for resolving tied predictions for K-nearest neighbor OVA ensemble models

Lutu, Patricia E. N.; Engelbrecht, Andries P. - In: INFORMS journal on computing : JOC 25 (2013) 3, pp. 517-526

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Thabtah, Fadi; Abdelhamid, Neda - In: Journal of information & knowledge management : JIKM 15 (2016) 4, pp. 1-17

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Data Analytics : intelligent anti-phishing techniques based on machine learning

Baadel, Said; Lu, Zhongyu - In: Journal of information & knowledge management : JIKM 18 (2019) 1, pp. 1950005-1-1950005-17

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Cluster analysis for diabetic retinopathy prediction using data mining techniques

Anand, Tanvi; Pal, Rekha; Dubey, Sanjay Kumar - In: International journal of business information systems : … 31 (2019) 3, pp. 372-390

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Improving accuracy of students' final grade prediction model using optimal equal width binning and synthetic minority over-sampling technique

Jishan, Syed; Rashu, Raisul; Haque, Naheena; Rahman, … - In: Decision Analytics 2 (2015), pp. 1-25

There is a perpetual elevation in demand for higher education in the last decade all over the world; therefore, the need for improving the education system is imminent. Educational data mining is a newly-visible area in the field of data mining and it can be applied to better understanding the...

Persistent link: https://www.econbiz.de/10010531019

A systematic review on techniques of feature selection and classification for text mining

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Sports result prediction using data mining techniques in comparison with base line model

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