Mining Association Rules in Data Warehouses

摘要: Data mining applications have enormously altered the strategic decision-making processes of organizations. The application association rules algorithms is one well-known data techniques that been developed to cope with multidimensional databases. However, most these focus on models for transactional data. As warehouses can be presented using a model, in this paper we provide another perspective mine by focusing measurement summarized We propose four — VAvg, HAvg, WMAvg, and ModusFilter efficient initialization concentrating aggregate Then apply those both non-repeatable predicate, which known as normal rules, GenNLI, repeatable predicate ComDims GenHLI, hybrid rules.