Addressing challenges in time series forecasting: a comprehensive comparison of machine learning techniques.
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| Title: | Addressing challenges in time series forecasting: a comprehensive comparison of machine learning techniques. |
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| Authors: | Fallah Mortezanejad, Seyedeh Azadeh1 (AUTHOR), Wang, Ruochen1 (AUTHOR) wrc@ujs.edu.cn |
| Source: | Statistical Theory & Related Fields. Jun2026, Vol. 10 Issue 2, p184-231. 48p. |
| 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: 194222757 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Addressing challenges in time series forecasting: a comprehensive comparison of machine learning techniques. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fallah+Mortezanejad%2C+Seyedeh+Azadeh%22">Fallah Mortezanejad, Seyedeh Azadeh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Ruochen%22">Wang, Ruochen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wrc@ujs.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Statistical+Theory+%26+Related+Fields%22">Statistical Theory & Related Fields</searchLink>. Jun2026, Vol. 10 Issue 2, p184-231. 48p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=194222757 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/24754269.2026.2633813 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 48 StartPage: 184 Titles: – TitleFull: Addressing challenges in time series forecasting: a comprehensive comparison of machine learning techniques. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fallah Mortezanejad, Seyedeh Azadeh – PersonEntity: Name: NameFull: Wang, Ruochen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 24754269 Numbering: – Type: volume Value: 10 – Type: issue Value: 2 Titles: – TitleFull: Statistical Theory & Related Fields Type: main |
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