quant: a minimalist interval method for time series classification.
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| Title: | quant: a minimalist interval method for time series classification. |
|---|---|
| Authors: | Dempster, Angus1, angus.dempster@monash.edu, Schmidt, Daniel F.1, Webb, Geoffrey I.1 |
| Source: | Data Mining & Knowledge Discovery; Jul2024, Vol. 38 Issue 4, p2377-2402, 26p |
| 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: 178776843 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: quant: a minimalist interval method for time series classification. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Dempster%2C+Angus%22">Dempster, Angus</searchLink><relatesTo>1</relatesTo>, <i>angus.dempster@monash.edu</i><br /><searchLink fieldCode="AU" term="%22Schmidt%2C+Daniel+F%2E%22">Schmidt, Daniel F.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Webb%2C+Geoffrey+I%2E%22">Webb, Geoffrey I.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Data+Mining+%26+Knowledge+Discovery%22">Data Mining & Knowledge Discovery</searchLink>; Jul2024, Vol. 38 Issue 4, p2377-2402, 26p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178776843 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10618-024-01036-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 2377 Titles: – TitleFull: quant: a minimalist interval method for time series classification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dempster, Angus – PersonEntity: Name: NameFull: Schmidt, Daniel F. – PersonEntity: Name: NameFull: Webb, Geoffrey I. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13845810 Numbering: – Type: volume Value: 38 – Type: issue Value: 4 Titles: – TitleFull: Data Mining & Knowledge Discovery Type: main |
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