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10.1109/ISCID.2009.13guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Mining Association Rules in Relation of Quantitative Attribute by Coordinating Data

Published: 12 December 2009 Publication History

Abstract

This paper can be divided two parts, the first one researches the characteristic of mining association rules in quantitative attributes relations, and presents a method by coordinating data to transform quantitative attributes data to Boolean attribute for mining and numerical attribute for clustering. The second part, on the base of coordinating data, data is clustered, and then association rules are discovered from the result of clustering, at last association rules are fast adapted to obtain overall result. Through the experiment and the analysis of this algorithm, it is improved that the algorithm is more efficiently than conventional ones.

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Published In

cover image Guide Proceedings
ISCID '09: Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design - Volume 01
December 2009
573 pages
ISBN:9780769538655

Publisher

IEEE Computer Society

United States

Publication History

Published: 12 December 2009

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  1. Association rule
  2. Clustering
  3. coding numerical value

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