guest ::
| 001 | 981410 | ||
| 005 | 20240319051052.0 | ||
| 024 | 7 | _ | |a 2169-3536 |2 ISSN |
| 024 | 7 | _ | |a SCOPUS:2-s2.0-85184340489 |2 SCOPUS |
| 024 | 7 | _ | |a WOS:001163945800001 |2 WOS |
| 024 | 7 | _ | |a 10.1109/ACCESS.2024.3361650 |2 doi |
| 024 | 7 | _ | |a 10.18154/RWTH-2024-03007 |2 datacite_doi |
| 037 | _ | _ | |a RWTH-2024-03007 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 621.3 |
| 100 | 1 | _ | |0 0000-0002-4519-0173 |a Ceravolo, Paolo |b 0 |
| 245 | _ | _ | |a Tuning machine learning to address process mining requirements |h online |
| 260 | _ | _ | |a New York, NY |b IEEE |c 2024 |
| 336 | 7 | _ | |0 0 |2 EndNote |a Journal Article |
| 336 | 7 | _ | |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |a Journal Article |b journal |m journal |
| 336 | 7 | _ | |2 BibTeX |a ARTICLE |
| 336 | 7 | _ | |2 DRIVER |a article |
| 336 | 7 | _ | |2 DataCite |a Output Types/Journal article |
| 336 | 7 | _ | |2 ORCID |a JOURNAL_ARTICLE |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: publications.rwth-aachen.de |
| 591 | _ | _ | |a Germany |
| 591 | _ | _ | |a Italy |
| 591 | _ | _ | |a U Arab Emirates |
| 700 | 1 | _ | |0 0000-0002-4988-0702 |a Junior, Sylvio Barbon |b 1 |e Corresponding author |
| 700 | 1 | _ | |0 0000-0002-9557-6496 |a Damiani, Ernesto |b 2 |
| 700 | 1 | _ | |0 P:(DE-82)IDM02412 |a van Der Aalst, Wil M. P. |b 3 |u rwth |
| 773 | _ | _ | |0 PERI:(DE-600)2687964-5 |a 10.1109/ACCESS.2024.3361650 |p 24583-24595 |t IEEE access |v 12 |x 2169-3536 |y 2024 |
| 856 | 4 | _ | |u https://publications.rwth-aachen.de/record/981410/files/981410.pdf |y OpenAccess |
| 909 | C | O | |o oai:publications.rwth-aachen.de:981410 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |0 I:(DE-588b)36225-6 |6 P:(DE-82)IDM02412 |a RWTH Aachen |b 3 |k RWTH |
| 914 | 1 | _ | |y 2024 |
| 915 | 1 | _ | |0 StatID:(DE-HGF)0031 |2 StatID |a Peer reviewed article |x 0 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 |0 LIC:(DE-HGF)CCBYNCND4 |2 HGFVOC |
| 920 | 1 | _ | |0 I:(DE-82)080017_20140620 |k 080017 |l Profilbereich Information & Communication Technology (ICT) |x 0 |
| 920 | 1 | _ | |0 I:(DE-82)122510_20140620 |k 122510 |l Lehrstuhl für Process and Data Science (Informatik 9) |x 1 |
| 920 | 1 | _ | |0 I:(DE-82)120000_20140620 |k 120000 |l Fachgruppe Informatik |x 2 |
| 980 | _ | _ | |a I:(DE-82)080017_20140620 |
| 980 | _ | _ | |a I:(DE-82)120000_20140620 |
| 980 | _ | _ | |a I:(DE-82)122510_20140620 |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a journal |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|