K-RNN: K-relational nearest neighbour algorithm

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2008

Autores

Nuno A. Fonseca (Autor) Outra; Vítor Santos Costa (Autor) FCUP; Rui Camacho (Autor) FEUP

Ata de Conferência Internacional

Título: APPLIED COMPUTING 2008, VOLS 1-3

Páginas: 944-948

23rd Annual ACM Symposium on Applied Computing

Fortaleza, BRAZIL, MAR 16-20, 2008

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 5 Citações

Outras Informações

ID Authenticus: P-004-2JZ

DOI: 10.1145/1363686.1363901

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5