Selection of Minimum Support Degree with Rate of Frequent Items

Haiyan Zhou, Xiaobing Chen, Yunyang Yan
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Abstract

Association rules mining is an important branch of data mining research, which affords interesting relations between items of data sets. Minimum support degree is an important reference value in association rules mining and its threshold is usually given by user. The problem of how to determine the threshold when data mining is not researched until nowadays. So a selection mining support degree algorithm is put forwarded in this paper, and it has important significance in practical application.
基于频繁项目率的最小支持度选择
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