New data sources for process mining:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Hochschulschrift/Dissertation Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Bayreuth
2024
|
| Schlagwörter: | |
| Links: | https://epub.uni-bayreuth.de/id/eprint/8039/ https://doi.org/10.15495/EPub_UBT_00008039 https://nbn-resolving.de/urn:nbn:de:bvb:703-epub-8039-3 |
| Umfang: | VI, 68 Seiten Illustrationen, Diagramme |
| DOI: | 10.15495/EPub_UBT_00008039 |
Internformat
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| indexdate | 2025-01-28T19:11:13Z |
| institution | BVB |
| language | English |
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| physical | VI, 68 Seiten Illustrationen, Diagramme |
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| spellingShingle | Egger, Andreas New data sources for process mining |
| subject_GND | (DE-588)4113937-9 |
| title | New data sources for process mining |
| title_auth | New data sources for process mining |
| title_exact_search | New data sources for process mining |
| title_full | New data sources for process mining vorgelegt von Andreas Egger |
| title_fullStr | New data sources for process mining vorgelegt von Andreas Egger |
| title_full_unstemmed | New data sources for process mining vorgelegt von Andreas Egger |
| title_short | New data sources for process mining |
| title_sort | new data sources for process mining |
| topic_facet | Hochschulschrift |
| url | https://epub.uni-bayreuth.de/id/eprint/8039/ https://doi.org/10.15495/EPub_UBT_00008039 https://nbn-resolving.de/urn:nbn:de:bvb:703-epub-8039-3 |
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