A novel probabilistic Jaccard distance measure for classification of sparse and uncertain data

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-...

Item Type:	Conference or workshop item (Proceeding)
Uncontrolled keywords:	data mining, machine learning, bioinformatics
Subjects:	Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User:	Alex Freitas
Date Deposited:	25 May 2018 09:33 UTC
Last Modified:	16 Feb 2021 13:54 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/67128 (The current URI for this page, for reference purposes)
Fabris, Fabio:	https://orcid.org/0000-0001-7159-4668
Freitas, Alex A.:	https://orcid.org/0000-0001-9825-4700