Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis
Kelen, Domokos Miklós and Petreczky, M and Kersch, P and Benczúr, András, ifj (2023) Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis. In: 2023 IEEE International Conference on Data Mining (ICDM). Institute of Electrical and Electronics Engineers, Piscataway (NJ), pp. 210-219. 10.1109/ICDM58522.2023.00030
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Official URL: https://doi.org/10.1109/ICDM58522.2023.00030
| Item Type: | Book Section |
|---|---|
| Subjects: | Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
| Divisions: | Informatics Laboratory |
| SWORD Depositor: | MTMT Injector |
| Depositing User: | MTMT Injector |
| Date Deposited: | 17 Jan 2024 08:11 |
| Last Modified: | 17 Jan 2024 08:11 |
| URI: | https://eprints.sztaki.hu/id/eprint/10662 |
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