Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming.
IEEE Transactions on Cybernetics(2018)
摘要
Real-world data usually comprise features whose interpretation depends on some contextual information. Such contextual-sensitive features and patterns are of high interest to be discovered and analyzed in order to obtain the right meaning. This paper formulates the problem of mining context-aware association rules, which refers to the search for associations between itemsets such that the strength...
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关键词
Data mining,Proposals,Genetic programming,Grammar,Feature extraction,Computer science
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