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Weak Ratio Rules: A Generalized Boolean Association Rules  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Weak Ratio Rules: A Generalized Boolean Association Rules

作者:Jiang, Baoqing[1];Hu, Xiaohua[2];Wei, Qing[3];Song, Jingjing[4];Han, Chong;Liang, Meng[5]

第一作者:Jiang, Baoqing

通讯作者:Jiang, BQ[1]

机构:[1]Henan Univ, Sch Compute & Informat Engn, Kaifeng, Henan Province, Peoples R China;[2]Drexel Univ, Philadelphia, PA USA;[3]Henan Univ Econ & Law, Sch Comp & Informat Engn, Zhengzhou, Peoples R China;[4]Qingyuan Polytech, Web & Informat Ctr, Qingyuan, Guangdong, Peoples R China;[5]Henan Univ, Sch Comp & Informat Engn, Kaifeng, Henan Province, Peoples R China

第一机构:Henan Univ, Sch Compute & Informat Engn, Kaifeng, Henan Province, Peoples R China

通讯机构:[1]corresponding author), Henan Univ, Sch Compute & Informat Engn, Kaifeng, Henan Province, Peoples R China.

年份:2011

卷号:7

期号:3

起止页码:50-87

外文期刊名:INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING

收录:;EI(收录号:20113814346683);Scopus(收录号:2-s2.0-80052858392);WOS:【SCI-EXPANDED(收录号:WOS:000307050500003)】;

基金:This work was supported by the National Natural Science Foundation of P. R. China (60875034) and the Henan Innovation Project for University Prominent Research Talents (2007KYCX018)

语种:英文

外文关键词:Association Rules; Data Mining; Ratio Rules; Uncertainty Reasoning; Weak Ratio Rules

摘要:This paper examines the problem of weak ratio rules between nonnegative real-valued data in a transactional database. The weak ratio rule is a weaker form than Flip Korn's ratio rule. After analyzing the mathematical model of weak ratio rules problem, the authors conclude that it is a generalization of Boolean association rules problem and every weak ratio rule is supported by a Boolean association rule. Following the properties of weak ratio rules, the authors propose an algorithm for mining an important subset of weak ratio rules and construct a weak ratio rule uncertainty reasoning method. An example is given to show how to apply weak ratio rules to reconstruct lost data, and forecast and detect outliers.

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