Interpretable and explainable machine learning methods for predictive process monitoring: a systematic literature review.
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| Title: | Interpretable and explainable machine learning methods for predictive process monitoring: a systematic literature review. |
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| Authors: | Mehdiyev, Nijat1,2, nijat.mehdiyev@dfki.de, Majlatow, Maxim1,2, maxim.majlatow@dfki.de, Fettke, Peter1,2, peter.fettke@dfki.de |
| Source: | Artificial Intelligence Review; Dec2025, Vol. 58 Issue 12, p1-92, 92p |
| 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: 188661326 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-025-11399-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 92 StartPage: 1 Titles: – TitleFull: Interpretable and explainable machine learning methods for predictive process monitoring: a systematic literature review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mehdiyev, Nijat – PersonEntity: Name: NameFull: Majlatow, Maxim – PersonEntity: Name: NameFull: Fettke, Peter IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 58 – Type: issue Value: 12 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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