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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.

Item Type: Conference or workshop item (Proceeding)
Uncontrolled keywords: data mining, machine learning, bioinformatics
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Faculties > Sciences > School of Computing > Computational Intelligence Group
Depositing User: Alex Freitas
Date Deposited: 25 May 2018 09:33 UTC
Last Modified: 05 Sep 2019 09:18 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
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