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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
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Towards decision analytics in product portfolio management
Otten, Sjors; Spruit, Marco René; Helms, Remko - In: Decision Analytics 2 (2015), pp. 1-25
industry. Three DM-techniques were selected: Dependency Modeling, Change and Deviation Detection, and Classification. Of these … three techniques, two were found to be of complementary value in a PPM-context, Dependency modeling and Classification …
Persistent link: https://www.econbiz.de/10011376894
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Predicting customers' cross-buying decisions : a two-stage machine learning approach
Kilinc, Mehmet Serdar; Rohrhirsch, Robert - In: Journal of business analytics 6 (2023) 3, pp. 180-187
Persistent link: https://www.econbiz.de/10014319345
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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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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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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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Improving churn prediction using imperialist competitive algorithm for feature selection in telecom
Abbasimehr, Hossein; Bahrini, Aram - In: International journal of business information systems : … 45 (2024) 4, pp. 490-502
Persistent link: https://www.econbiz.de/10015061811
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Positive-versus-negative classification for model aggregation in predictive data mining
Lutu, Patricia E. N.; Engelbrecht, Andries P. - In: INFORMS journal on computing : JOC 25 (2013) 4, pp. 792-807
Persistent link: https://www.econbiz.de/10010203574
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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
Persistent link: https://www.econbiz.de/10009784055