期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2016
卷号：33
期号：1
页码：9-13
DOI：10.14445/22312803/IJCTT-V33P102
出版社：Seventh Sense Research Group
摘要：In this paper, modified Approach for classifying Multidimensional data cube is constructed. It explores data cubes in large MultiDimensional Schema. Numerical and Nominal attributes are categorized based on Principal Component Analysis. Semantic relationships are identified by applying Multidimensional scaling. Additionally, AR is integrated for finding the inserting measures. Many algorithms have been proposed for applying Multidimensional schema. But still some difficulties to category wise the integrated rules. The proposed approach suggested a new idea for categorizing the rules by using bank loan detect. This method provides accurate prediction and consumes less time than existing method.
关键词：Association Rules; Datacubes; DataMining; Multidimensional Schema; Information Gain
