Granule mining oriented data warehousing model for representations of multidimensional association rules. (21st February 2008)

• Record Type: Journal Article
• Authors: Yang, Wanzhong; Li, Yuefeng; Wu, Jingtong; Xu, Yue
• Is Part Of: International journal of intelligent information and database systems. Volume 2:Number 1(2008)
• Page Start: 125
• Page End: 145
• Publication Date: 2008-02-21
• Subjects: data mining -- data warehousing -- multidimensional association rules -- multi-tier granule mining; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

Abstract

To promise the quality of multidimensional association mining in real applications is a challenging research issue. The challenging issue is how to represent multidimensional association rules efficiently because of the complicated correlation between attributes. Multi-tier granule mining is one initiative in solving this challenge. This paper presents a granule mining oriented data warehousing model. It can divide attributes into tiers and discover granules for each tier from large multidimensional databases. In addition, it uses association mappings to generate association rules for describing the correlation between tiers. Experiments for the proposed model and the testing results are prosecuted.