K-RNN: K-relational nearest neighbour algorithm

• Type: Article in International Conference Proceedings Book
• Date: 2008

Authors

Nuno A. Fonseca (Author) Other; Vítor Santos Costa (Author) FCUP; Rui Camacho (Author) FEUP

Conference proceedings International

Title: APPLIED COMPUTING 2008, VOLS 1-3

Pages: 944-948

23rd Annual ACM Symposium on Applied Computing

Fortaleza, BRAZIL, MAR 16-20, 2008

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 5 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5