An Efficient Approach for Customer Attrition Prediction Using Regression-Based Feature Reduction and Neutrosophic Soft Set in Big Data.

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Title: An Efficient Approach for Customer Attrition Prediction Using Regression-Based Feature Reduction and Neutrosophic Soft Set in Big Data.
Authors: Gladysheva, Irina1, gladysheva-iv@rudn.ru, Karlibaeva, Raya2,3, raya.karlibaeva@tues.uz, Mirzayev, Bobur4, b.mirzayev@afu.uz, Rakhimov, Tukhtabek5, tuxtabek.r@urdu.uz, Shichiyakh, Rustem6, shichiyax.r@kubsau.ru
Source: Engineering, Technology & Applied Science Research; Jun2026, Vol. 16 Issue 3, p36427-36431, 5p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 195332530
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Engineering%2C+Technology+%26+Applied+Science+Research%22">Engineering, Technology & Applied Science Research</searchLink>; Jun2026, Vol. 16 Issue 3, p36427-36431, 5p
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      – Type: doi
        Value: 10.48084/etasr.18686
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      – Code: eng
        Text: English
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        PageCount: 5
        StartPage: 36427
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      – TitleFull: An Efficient Approach for Customer Attrition Prediction Using Regression-Based Feature Reduction and Neutrosophic Soft Set in Big Data.
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            NameFull: Gladysheva, Irina
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            NameFull: Karlibaeva, Raya
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            NameFull: Mirzayev, Bobur
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            NameFull: Shichiyakh, Rustem
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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