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Author Li, Yuefeng ♦ Yang, Wanzhong ♦ Xu, Yue
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Big Challenge ♦ Satisfactory Approach ♦ Multi-tier Granule Mining ♦ Association Mapping ♦ Meaningful Multidimensional Association Rule ♦ Multidimensional Association Mining ♦ Multidimensional Association Rule ♦ Large Multidimensional Database ♦ Meaningful Association Rule ♦ Essential Issue ♦ Challenging Issue
Description It is a big challenge to promise the quality of multidimensional association mining. The essential issue is how to represent meaningful multidimensional association rules efficiently. Currently we have not found satisfactory approaches for solving this challenge because of the complicated correlation between attributes. Multi-tier granule mining is an initiative for solving this challenging issue. It divides attributes into some tiers and then compresses the large multidimensional database into granules at each tier. It also builds association mappings to illustrate the correlation between tiers. In this way, the meaningful association rules can be justified according to these association mappings.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2006-01-01
Publisher Institution Proc. IEEE Sixth Int’l Conf. Data Mining (ICDM ’06