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Zaamari, Masih, Bateni, Mehdi. (1402). Uplift Modeling Using Artificial Immune System. سامانه مدیریت نشریات علمی دانشگاه اصفهان, 10(2), 45-60. doi: 10.22108/jcs.2023.137462.1125
Masih Zaamari; Mehdi Bateni. "Uplift Modeling Using Artificial Immune System". سامانه مدیریت نشریات علمی دانشگاه اصفهان, 10, 2, 1402, 45-60. doi: 10.22108/jcs.2023.137462.1125
Zaamari, Masih, Bateni, Mehdi. (1402). 'Uplift Modeling Using Artificial Immune System', سامانه مدیریت نشریات علمی دانشگاه اصفهان, 10(2), pp. 45-60. doi: 10.22108/jcs.2023.137462.1125
Zaamari, Masih, Bateni, Mehdi. Uplift Modeling Using Artificial Immune System. سامانه مدیریت نشریات علمی دانشگاه اصفهان, 1402; 10(2): 45-60. doi: 10.22108/jcs.2023.137462.1125

Uplift Modeling Using Artificial Immune System

Journal of Computing and Security
مقاله 1، دوره 10، شماره 2، مهر 2023، صفحه 45-60    اصل مقاله (1.12 M)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22108/jcs.2023.137462.1125
نویسندگان
Masih Zaamari* 1؛ Mehdi Bateni2
1Department of Cognitive Science, Carleton University, Ottawa, Ontario, Canada.
2Computer Department, Khansar Campus, University of Isfahan, Isfahan, Iran.
چکیده
Uplift Modeling aims to detect subgroups in a population with a specific response or reaction to an action taken on the targeted group. In these models, the Treatment set contains objects that have been exposed to some action, such as a marketing campaign or clinical treatment, while in the Control set, they have not. In this study, a novel artificial immune system-based model was designed using an AIRS classifier to solve uplift modeling problems with improved efficiency. In this approach, a predictive model was built for estimating the conditional probability of receiving the desired response from the subpopulation that has taken the action over the relevant probability of the sub-population that has not taken the action. The proposed model was tested on the Hillstorm-visit-w dataset. Experimental results showed a 138 percent improvement in the area under the uplift curve which is a measure to assess an uplift model's performance.
کلیدواژه‌ها
Uplift Modeling؛ Artificial Immune System؛ Artificial Immune Recognition System
سایر فایل های مرتبط با مقاله
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