Martire, I., da Silva, P.N., Plastino, Alexandre, Fabris, Fabio, Freitas, Alex A. (2017) A novel probabilistic Jaccard distance measure for classification of sparse and uncertain data. In: Rebeiro de Faria Paiva, Elaine and Merschmann, Luiz and Cerri, Ricardo, eds. Proceedings of the 5th Symposium on Knowledge Discovery, Mining and Learning (KDMiLe). . pp. 81-88. (KAR id:67128)
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| Official URL: http://www.facom.ufu.br/~kdmile/proceedings/anais-... |
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| Item Type: | Conference or workshop item (Proceeding) |
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| Uncontrolled keywords: | data mining, machine learning, bioinformatics |
| Subjects: | Q Science > Q Science (General) > Q335 Artificial intelligence |
| Institutional Unit: | Schools > School of Computing |
| Former Institutional Unit: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
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| Depositing User: | Alex Freitas |
| Date Deposited: | 25 May 2018 09:33 UTC |
| Last Modified: | 22 Jul 2025 08:59 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/67128 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Fabris, Fabio.
| Creator's ORCID: |
 https://orcid.org/0000-0001-7159-4668
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| CReDIT Contributor Roles: |
Freitas, Alex A..
| Creator's ORCID: |
https://orcid.org/0000-0001-9825-4700
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| CReDIT Contributor Roles: |
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