k-RNN: k-Relational Neareast Neighbour Algorithm
Nuno A. Fonseca, Vítor Santos Costa, Ricardo Rocha and Rui Camacho
March 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.
Bibtex
@InProceedings{fonseca-sac08,
author = {N. A. Fonseca and V. Santos Costa and R. Rocha and R. Camacho},
title = {{k-RNN: k-Relational Neareast Neighbour Algorithm}},
booktitle = {Proceedings of the 23rd Annual ACM Symposium on Applied Computing (SAC 2008)},
pages = {944--948},
publisher = {ACM},
editor = {L. Liebrock},
month = {March},
year = {2008},
address = {Fortaleza, Ceará, Brazil},
}
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