Derived Feature Engineering and ABC–XYZ Segmentation for Machine Learning-Based Forecasting of Intermittent Spare Parts Demand.
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| Title: | Derived Feature Engineering and ABC–XYZ Segmentation for Machine Learning-Based Forecasting of Intermittent Spare Parts Demand. |
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| Authors: | Kunić, Zdravko1, aleksander.radovan@algebra.hr, Dakić, Vedran2, ffurko@algebra.hr, Radovan, Aleksandar1, Furko, Filip1,2 |
| Source: | Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p5804, 34p |
| 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: 194910012 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16125804 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 34 StartPage: 5804 Titles: – TitleFull: Derived Feature Engineering and ABC–XYZ Segmentation for Machine Learning-Based Forecasting of Intermittent Spare Parts Demand. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kunić, Zdravko – PersonEntity: Name: NameFull: Dakić, Vedran – PersonEntity: Name: NameFull: Radovan, Aleksandar – PersonEntity: Name: NameFull: Furko, Filip IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 12 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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