MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events.
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| Title: | MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events. |
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| Authors: | Han, Tianjiao1, zcahth1@ucl.ac.uk, Yuan, Chenxun2, yuanchenxun@mail.sdu.edu.cn, Wang, Pengcheng2, pengchengwang@mail.sdu.edu.cn, Hao, Xingwei2, hxw@sdu.edu.cn, Guo, Fenghua2, gfh@sdu.edu.cn |
| Source: | Journal of Intelligent Information Systems; Aug2025, Vol. 63 Issue 4, p1265-1286, 22p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 186779705 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Han%2C+Tianjiao%22">Han, Tianjiao</searchLink><relatesTo>1</relatesTo>, <i>zcahth1@ucl.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Yuan%2C+Chenxun%22">Yuan, Chenxun</searchLink><relatesTo>2</relatesTo>, <i>yuanchenxun@mail.sdu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Pengcheng%22">Wang, Pengcheng</searchLink><relatesTo>2</relatesTo>, <i>pengchengwang@mail.sdu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Hao%2C+Xingwei%22">Hao, Xingwei</searchLink><relatesTo>2</relatesTo>, <i>hxw@sdu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Guo%2C+Fenghua%22">Guo, Fenghua</searchLink><relatesTo>2</relatesTo>, <i>gfh@sdu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Information+Systems%22">Journal of Intelligent Information Systems</searchLink>; Aug2025, Vol. 63 Issue 4, p1265-1286, 22p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186779705 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10844-025-00938-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 1265 Titles: – TitleFull: MF-EDNet: predicting stock market sector indices based on multi-feature fusion under emergency events. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Han, Tianjiao – PersonEntity: Name: NameFull: Yuan, Chenxun – PersonEntity: Name: NameFull: Wang, Pengcheng – PersonEntity: Name: NameFull: Hao, Xingwei – PersonEntity: Name: NameFull: Guo, Fenghua IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09259902 Numbering: – Type: volume Value: 63 – Type: issue Value: 4 Titles: – TitleFull: Journal of Intelligent Information Systems Type: main |
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