Precising Multi-Dimensional Data Cube through Association Rule Mining Algorithm

Abstract

Huge range of data mining techniques has made significant improvements in the field of knowledge discovery towards various domains. This paper deals with the works to related to the association rule in data mining and Multi-dimensional schema. Various frameworks have suggested exploring a knowledge discovery process which integrates the concept of machine learning, statistical schema and association rules for finding interesting rules. Multidimensional schema and data cubes are constructed for acquiring the rules. This paper highlights the recent works related with Multidimensional data cubes and presented the limitations. Finally performance is evaluated and clearly proven that the proposed work provides better accuracy than existing systems. Keywords: Association Rules, Datacubes, Data Mining, Multidimensional Schema, Information Gain