Deep Learning-Based ETL Framework for Automating Data Transformation in Big Data Analytics.
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| Title: | Deep Learning-Based ETL Framework for Automating Data Transformation in Big Data Analytics. |
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| Authors: | Kumar, G. Sunil Santhosh1,2 (AUTHOR) gsunilsanthosh105@gmail.com, Kumar, M. Rudra3 (AUTHOR) |
| Source: | Mathematical Modelling of Engineering Problems. Nov2025, Vol. 12 Issue 11, p3971-3979. 9p. |
| Database: | Mathematics Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: msf DbLabel: Mathematics Source An: 190664405 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep Learning-Based ETL Framework for Automating Data Transformation in Big Data Analytics. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kumar%2C+G%2E+Sunil+Santhosh%22">Kumar, G. Sunil Santhosh</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> gsunilsanthosh105@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kumar%2C+M%2E+Rudra%22">Kumar, M. Rudra</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Mathematical+Modelling+of+Engineering+Problems%22">Mathematical Modelling of Engineering Problems</searchLink>. Nov2025, Vol. 12 Issue 11, p3971-3979. 9p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=190664405 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.18280/mmep.121123 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 3971 Titles: – TitleFull: Deep Learning-Based ETL Framework for Automating Data Transformation in Big Data Analytics. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kumar, G. Sunil Santhosh – PersonEntity: Name: NameFull: Kumar, M. Rudra IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 23690739 Numbering: – Type: volume Value: 12 – Type: issue Value: 11 Titles: – TitleFull: Mathematical Modelling of Engineering Problems Type: main |
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