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Torra, Vicenç and Narukawa, Yasuo (2023) Special issue on data mining and data privacy. Journal of Ambient Intelligence and Humanized Computing, 14 (11). pp. 14977-14978. ISSN 1868-5137
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Abstract
This special issue encompasses fourteen papers that focus on different aspects related to data science. This ranges from
supervised and unsupervised machine learning algorithms to extract knowledge from data, to data protection procedures
to ensure that the knowledge extracted is privacy-preserving.
| Item Type: | Article |
|---|---|
| Keywords: | Special issue; data mining; data privacy; |
| Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 20261 |
| Identification Number: | 10.1007/s12652-023-04699-2 |
| Depositing User: | Vicenç Torra |
| Date Deposited: | 15 Jul 2025 16:14 |
| Journal or Publication Title: | Journal of Ambient Intelligence and Humanized Computing |
| Publisher: | Springer |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/20261 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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