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A stacking-based data mining solution to customer churn prediction

Shabankareh, Mohammad Javad; Shabankareh, Mohammad Ali; … - In: Journal of relationship marketing : innovations and … 21 (2022) 2, pp. 124-147

Persistent link: https://www.econbiz.de/10013336326

Using supervised machine learning methods for RFM segmentatio : a casino direct marketing communication case

Bratina, Danijel; Faganel, Armand - In: Market : review for marketing theory and practice 35 (2023) 1, pp. 7-22

Persistent link: https://www.econbiz.de/10014315007

Forecasting the default risk of Chinese listed companies using a gradient-boosted decision tree based on the undersampling technique

Wang, Shanshan; Chi, Guotai; Zhou, Ying; Chen, Li - In: The journal of risk model validation 17 (2023) 4, pp. 97-121

Persistent link: https://www.econbiz.de/10014485969

Predicting Financial Failure Using Decision Tree Algorithms : An Empirical Test on the Manufacturing Industry at Borsa Istanbul

Ocal, Nurcan; Ercan, Metin Kamil; Kadioglu, Eyup - 2022

accurate classification for both models are found to be at acceptable levels. Although the CHAID algorithm’s general rate of …

Persistent link: https://www.econbiz.de/10014086379

A predictive analytics model for forecasting outcomes in the National Football League games using decision tree and logistic regression

Gifford, Matt; Bayrak, Tuncay - In: Decision analytics journal 8 (2023), pp. 1-10

Sports analytics has gained rapid popularity in recent years and will likely continue to evolve. In this study, we construct predictive analytics models to forecast the NFL games outcomes in a season using decision trees and logistics regression. Several variables are used as predictors...

Persistent link: https://www.econbiz.de/10014517330

Use of artificial neural networks and decision trees for cost estimation of software projects : a model proposal

Stanek, Marlena; Czarnacka-Chrobot, Beata - In: Analytics in finance and risk management, (pp. 83-115). 2023

Persistent link: https://www.econbiz.de/10014517351

Financial distress prediction with optimal decision trees based on the optimal sampling probability

Chi, Guotai; Li, Cun; Zhou, Ying; Li, Taotao - In: The journal of risk model validation 18 (2024) 1, pp. 19-44

Persistent link: https://www.econbiz.de/10014556682

Assessing the predictive performance of machine learning in direct marketing response

Choi, Youngkeun; Choi, Jae W. - In: International journal of e-business research : IJEBR ; … 19 (2023) 1, pp. 1-12

Persistent link: https://www.econbiz.de/10015051116

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

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