Algorithm mining Association Rules by considering Weight Support


The KIPS Transactions:PartD, Vol. 11, No. 3, pp. 545-552, Jun. 2004
10.3745/KIPSTD.2004.11.3.545,   PDF Download:

Abstract

Association rules mining, which is one of data mining technologies, searches data among which are frequent and related to each other in database. But, although the data are not frequent and rare in database,they have the enough worth of business information if the data ares important and strongly related to each other, In this paper, we propose the algorithm discovering association rules that consist of data, which are rare but, important and strongly related to each other in database. The proposed algorithm was evaluated through simulation. We found that the proposed algorithm discovered efficiently association rules among data, which are not frequent but, important.


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Cite this article
[IEEE Style]
K. H. Kim, B. W. Whang, M. C. Kim, "Algorithm mining Association Rules by considering Weight Support," The KIPS Transactions:PartD, vol. 11, no. 3, pp. 545-552, 2004. DOI: 10.3745/KIPSTD.2004.11.3.545.

[ACM Style]
Keun Hyung Kim, Byung Woong Whang, and Min Chul Kim. 2004. Algorithm mining Association Rules by considering Weight Support. The KIPS Transactions:PartD, 11, 3, (2004), 545-552. DOI: 10.3745/KIPSTD.2004.11.3.545.