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. |
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| 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 195332530 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An Efficient Approach for Customer Attrition Prediction Using Regression-Based Feature Reduction and Neutrosophic Soft Set in Big Data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Gladysheva%2C+Irina%22">Gladysheva, Irina</searchLink><relatesTo>1</relatesTo>, <i>gladysheva-iv@rudn.ru</i><br /><searchLink fieldCode="AU" term="%22Karlibaeva%2C+Raya%22">Karlibaeva, Raya</searchLink><relatesTo>2,3</relatesTo>, <i>raya.karlibaeva@tues.uz</i><br /><searchLink fieldCode="AU" term="%22Mirzayev%2C+Bobur%22">Mirzayev, Bobur</searchLink><relatesTo>4</relatesTo>, <i>b.mirzayev@afu.uz</i><br /><searchLink fieldCode="AU" term="%22Rakhimov%2C+Tukhtabek%22">Rakhimov, Tukhtabek</searchLink><relatesTo>5</relatesTo>, <i>tuxtabek.r@urdu.uz</i><br /><searchLink fieldCode="AU" term="%22Shichiyakh%2C+Rustem%22">Shichiyakh, Rustem</searchLink><relatesTo>6</relatesTo>, <i>shichiyax.r@kubsau.ru</i> – Name: TitleSource Label: Source Group: Src 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 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195332530 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.48084/etasr.18686 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 36427 Titles: – TitleFull: An Efficient Approach for Customer Attrition Prediction Using Regression-Based Feature Reduction and Neutrosophic Soft Set in Big Data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gladysheva, Irina – PersonEntity: Name: NameFull: Karlibaeva, Raya – PersonEntity: Name: NameFull: Mirzayev, Bobur – PersonEntity: Name: NameFull: Rakhimov, Tukhtabek – PersonEntity: Name: NameFull: Shichiyakh, Rustem IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22414487 Numbering: – Type: volume Value: 16 – Type: issue Value: 3 Titles: – TitleFull: Engineering, Technology & Applied Science Research Type: main |
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