Integration of OLAP and association rule mining
作者： Gunwanti R. Bawane , Prarthana Deshkar
DOI: 10.1109/ICIIECS.2015.7193123
关键词: FSA-Red Algorithm 、 Association rule learning 、 A priori and a posteriori 、 Multidimensional analysis 、 Apriori algorithm 、 Process (engineering) 、 Computer science 、 Data mining 、 Online analytical processing 、 Data warehouse
摘要: OLAP is a multidimensional view of complete data in the store used for analysis. It most practical approach warehouse analytical process large and provides tools statistical analysis data. Association rule learning popular method discovering user interested relations between variables very databases. Apriori_cube advanced algorithm traditional Apriori to discover association rules datasets. This integrate mining build system which can be further analyzed take decisions regarding market trends.
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