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ARMiner: A data mining tool based on association rules

✍ Scribed by Haofeng Zhou; Jianqiu Zhu; Yangyong Zhu; Baile Shi

Publisher
Springer
Year
2002
Tongue
English
Weight
986 KB
Volume
17
Category
Article
ISSN
1000-9000

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We discuss a problem of synthesis and analysis of rules based on experimental numeric data. Two descriptors of the rules that are viewed individually and en block are introduced. The coverage of the rules is quantified in terms of the data being covered by the antecedents and conclusions standing in