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Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction. (2024). Gao, Yuyang ; Zhang, Ying ; Chen, Yinghao ; Abedin, Mohammad Zoynul ; Wang, Jianzhou ; Yang, Hufang ; Liu, Zhenkun.
In: Journal of Retailing and Consumer Services.
RePEc:eee:joreco:v:79:y:2024:i:c:s0969698924001504.

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  13. Enhancing e-commerce customer churn management with a profit- and AUC-focused prescriptive analytics approach. (2024). Guo, Yihan ; Feng, YI ; Marra, Marianna ; Ignatius, Joshua ; Wang, Dujuan ; Cheng, T. C. E., ; Yin, Yunqiang.
    In: Journal of Business Research.
    RePEc:eee:jbrese:v:184:y:2024:i:c:s014829632400376x.

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  14. Interpretable generalized additive neural networks. (2024). Weinzierl, Sven ; Zschech, Patrick ; Kraus, Mathias ; Tschernutter, Daniel.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:317:y:2024:i:2:p:303-316.

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  15. Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. (2024). de Bock, Koen W ; Verbeke, Wouter ; Delen, Dursun ; Choi, Tsan-Ming ; Martens, David ; Lessmann, Stefan ; Vairetti, Carla ; Maldonado, Sebastian ; Baesens, Bart ; Sowiski, Roman ; de Caigny, Arno ; Boute, Robert N ; Weber, Richard ; Kraus, Mathias ; Oskarsdottir, Maria ; Coussement, Kristof.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:317:y:2024:i:2:p:249-272.

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  16. How to Maximize Clicks for Display Advertisement in Digital Marketing? A Reinforcement Learning Approach. (2023). Singh, Vinay ; Nanavati, Brijesh ; Kar, Arpan Kumar ; Gupta, Agam.
    In: Information Systems Frontiers.
    RePEc:spr:infosf:v:25:y:2023:i:4:d:10.1007_s10796-022-10314-0.

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  17. A decision support framework to incorporate textual data for early student dropout prediction in higher education. (2023). Phan, Minh ; Coussement, Kristof ; de Caigny, Arno.
    In: Post-Print.
    RePEc:hal:journl:hal-04274684.

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  18. Explainable AI for Operational Research: A Defining Framework, Methods, Applications, and a Research Agenda. (2023). Boute, Robert N ; Weber, Richard ; Kraus, Mathias ; Oskarsdottir, Maria ; Coussement, Kristof ; de Bock, Koen W ; Verbeke, Wouter ; Delen, Dursun ; Choi, Tsan-Ming ; Martens, David ; Lessmann, Stefan ; Vairetti, Carla ; Maldonado, Sebastian ; Baesens, Bart ; Slowiski, Roman ; de Caigny, Arno.
    In: Post-Print.
    RePEc:hal:journl:hal-04219546.

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  19. Deep Churn Prediction Method for Telecommunication Industry. (2023). Gaber, Tarek ; Saha, Lewlisa ; Tripathy, Hrudaya Kumar ; El-Gohary, Hatem ; El-Kenawy, El-Sayed M.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:5:p:4543-:d:1086814.

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  20. Oil Demand Forecasting in Importing and Exporting Countries: AI-Based Analysis of Endogenous and Exogenous Factors. (2023). Zhu, Hui.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:18:p:13592-:d:1237713.

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  21. Ensemble Methods in Customer Churn Prediction: A Comparative Analysis of the State-of-the-Art. (2023). Bogaert, Matthias ; Delaere, Lex.
    In: Mathematics.
    RePEc:gam:jmathe:v:11:y:2023:i:5:p:1137-:d:1079547.

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  22. Price-aware enhanced dynamic recommendation based on deep learning. (2023). Guo, Wenhao ; Li, Minqiang ; Tian, Jin.
    In: Journal of Retailing and Consumer Services.
    RePEc:eee:joreco:v:75:y:2023:i:c:s0969698923002473.

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  23. Is the system reliability profitable for retailing and consumer service of a dynamical system under cross-price elasticity of demand?. (2023). Jana, Tapas Kumar ; Seok, Hyesung ; Sarkar, Biswajit ; Dey, Bikash Koli.
    In: Journal of Retailing and Consumer Services.
    RePEc:eee:joreco:v:75:y:2023:i:c:s0969698923001868.

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  24. Examining the gamified effect of the blindbox design: The moderating role of price. (2023). Feng, Yuanyue ; Miao, Xiaoyu ; Yang, Congcong ; Niu, Ben.
    In: Journal of Retailing and Consumer Services.
    RePEc:eee:joreco:v:74:y:2023:i:c:s0969698923001704.

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  25. A novel deep learning model based on convolutional neural networks for employee churn prediction. (2022). Ozcan, Tuncay ; Ozmen, Ebru Pekel.
    In: Journal of Forecasting.
    RePEc:wly:jforec:v:41:y:2022:i:3:p:539-550.

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  26. A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection. (2022). Abedin, Mohammad Zoynul ; Rahman, Saifur M ; Sana, Joydeb Kumar.
    In: PLOS ONE.
    RePEc:plo:pone00:0278095.

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  27. Customer determinants of used auto loan churn: comparing predictive performance using machine learning techniques. (2022). Patil, Vivek H ; Raju, Sudhakar ; Valluri, Chandrasekhar.
    In: Journal of Marketing Analytics.
    RePEc:pal:jmarka:v:10:y:2022:i:3:d:10.1057_s41270-021-00135-6.

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  28. Consequences of personalized product recommendations and price promotions in online grocery shopping. (2022). Laukkanen, Tommi ; Luongo, Milena ; Hallikainen, Heli ; Dhir, Amandeep.
    In: Journal of Retailing and Consumer Services.
    RePEc:eee:joreco:v:69:y:2022:i:c:s0969698922001813.

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  29. Economic corollaries of personalized recommendations. (2022). Lee, Wonjae ; Molaie, Mir Majid.
    In: Journal of Retailing and Consumer Services.
    RePEc:eee:joreco:v:68:y:2022:i:c:s0969698922000960.

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  30. Bias in Algorithms: On the trade-off between accuracy and fairness. (2021). Janssen, Patrick ; Sadowski, Bert M.
    In: 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world.
    RePEc:zbw:itsb21:238032.

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  31. Amalgamation of Customer Relationship Management and Data Analytics in Different Business Sectors—A Systematic Literature Review. (2021). Nayak, Soumyaranjan ; Barsocchi, Paolo ; Saha, Lewlisa ; Tripathy, Hrudaya Kumar ; Bhoi, Akash Kumar.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:9:p:5279-:d:550856.

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  32. Overcapacity Risk of China’s Coal Power Industry: A Comprehensive Assessment and Driving Factors. (2021). Wang, Yadong ; Xue, Xun.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:3:p:1426-:d:489546.

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  33. An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach. (2021). Almuqren, Latifah ; Alrayes, Fatma S ; Cristea, Alexandra I.
    In: Future Internet.
    RePEc:gam:jftint:v:13:y:2021:i:7:p:175-:d:588849.

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  34. Customer comeback: Empirical insights into the drivers and value of returning customers. (2021). Meire, Matthijs.
    In: Journal of Business Research.
    RePEc:eee:jbrese:v:127:y:2021:i:c:p:193-205.

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  35. How training on multiple time slices improves performance in churn prediction. (2021). Thonemann, Ulrich W ; Gattermann-Itschert, Theresa.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:295:y:2021:i:2:p:664-674.

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  36. Leveraging fine-grained transaction data for customer life event predictions. (2020). de Caigny, Arno ; Coussement, Kristof ; de Bock, Koen.
    In: Post-Print.
    RePEc:hal:journl:hal-02507998.

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  37. Incorporating textual information in customer churn prediction models based on a convolutional neural network. (2020). Lessmann, Stefan ; Coussement, Kristof ; de Bock, Koen W ; de Caigny, Arno.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:36:y:2020:i:4:p:1563-1578.

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  38. Conversion Uplift in E-Commerce: A Systematic Benchmark of Modeling Strategies. (2019). Lessmann, Stefan ; Gubela, Robin ; Gebert, Fabian ; Beque, Artem.
    In: International Journal of Information Technology & Decision Making (IJITDM).
    RePEc:wsi:ijitdm:v:18:y:2019:i:03:n:s0219622019500172.

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  39. Incorporating textual information in customer churn prediction models based on a convolutional neural network. (2019). de Caigny, Arno ; Lessmann, Stefan ; Coussement, Kristof ; de Bock, Koen W.
    In: Post-Print.
    RePEc:hal:journl:hal-02275958.

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  40. A hybrid PSO-SVM model based on clustering algorithm for short-term atmospheric pollutant concentration forecasting. (2019). Chen, Shuixia ; Wang, Jian-Qiang ; Zhang, Hong-Yu.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:146:y:2019:i:c:p:41-54.

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  41. Customer churn prediction in telecommunication industry using data certainty. (2019). Anwar, Sajid ; Loo, Jonathan ; Al-Obeidat, Feras ; Shah, Babar ; Adnan, Awais ; Amin, Adnan.
    In: Journal of Business Research.
    RePEc:eee:jbrese:v:94:y:2019:i:c:p:290-301.

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  42. Conversion uplift in e-commerce: A systematic benchmark of modeling strategies. (2018). Gebert, Fabian ; Beque, Artem ; Lessmann, Stefan ; Gubela, Robin.
    In: IRTG 1792 Discussion Papers.
    RePEc:zbw:irtgdp:2018062.

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  43. Targeting customers for profit: An ensemble learning framework to support marketing decision making. (2018). de Bock, Koen W ; Haupt, Johannes ; Lessmann, Stefan ; Coussement, Kristof.
    In: IRTG 1792 Discussion Papers.
    RePEc:zbw:irtgdp:2018012.

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  44. A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees. (2018). Coussement, Kristof ; de Bock, Koen W ; de Caigny, Arno.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:269:y:2018:i:2:p:760-772.

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