Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/67385
Author(s): Nuno A. Fonseca
Vítor Santos Costa
Rui Camacho
Title: K-RNN: K-relational nearest neighbour algorithm
Issue Date: 2008
Abstract: The amount of data collected and stored in databases is growing considerably in almost all areas of human activity. In complex applications the data involves several relations and proposionalization is not a suitable approach. Multi-Relational Data Mining algorithms can analyze data from multiple relations, with no need to transform the data into a single table, but are computationally more expensive. In this paper a novel relational classification algorithm based on the k-nearest neighbour algorithm is presented and evaluated.
URI: https://repositorio-aberto.up.pt/handle/10216/67385
Source: APPLIED COMPUTING 2008, VOLS 1-3
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FCUP - Artigo em Livro de Atas de Conferência Internacional
FEUP - Artigo em Livro de Atas de Conferência Internacional

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