期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2016
卷号：5
期号：2
页码：15731-15733
DOI：10.18535/ijecs/v5i2.12
出版社：IJECS
摘要：Data mining facilitates the discovery of unrevealed trends from huge datasets. Data warehouse is a key technology for complex data analysisautomatic knowledge extraction and decision making. Multi-dimensional database permits the data for efficient and appropriate storage. Thedimensional table holds all different attributes and dimensions. Detecting the hidden association between the items are limited in OLAP.Researchers have proposed many ideas to reduce the limitations. This paper presents an approach called Association rule classification forMulti-Dimensional dataset. This proposed work detects the hidden association form OLAP and also categorize the rule sets effectively
