A DISTRIBUTED ALGORITHM FOR MINING FUZZY ASSOCIATION RULES

George Stephanides, Mihai Gabroveanu, Mirel Cosulschi, Nicolae Constantinescu

Abstract

Data mining, also known as knowledge discovery in databases, is the process of discovery potentially useful, hidden knowledge or relations among data from large databases. An important topic in data mining research is concerned with the discovery of association rules. The majority of databases are distributed nowadays. In this paper is presented an algorithm for mining fuzzy association rules from these distributed databases. This algorithm is inspired from DMA (Distributed Mining of Association rules) algorithm for mining boolean association rules.

References

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Paper Citation


in Harvard Style

Stephanides G., Gabroveanu M., Cosulschi M. and Constantinescu N. (2005). A DISTRIBUTED ALGORITHM FOR MINING FUZZY ASSOCIATION RULES . In Proceedings of the First International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 972-8865-20-1, pages 206-209. DOI: 10.5220/0001228802060209


in Bibtex Style

@conference{webist05,
author={George Stephanides and Mihai Gabroveanu and Mirel Cosulschi and Nicolae Constantinescu},
title={A DISTRIBUTED ALGORITHM FOR MINING FUZZY ASSOCIATION RULES},
booktitle={Proceedings of the First International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2005},
pages={206-209},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001228802060209},
isbn={972-8865-20-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - A DISTRIBUTED ALGORITHM FOR MINING FUZZY ASSOCIATION RULES
SN - 972-8865-20-1
AU - Stephanides G.
AU - Gabroveanu M.
AU - Cosulschi M.
AU - Constantinescu N.
PY - 2005
SP - 206
EP - 209
DO - 10.5220/0001228802060209