期刊名称：International Journal of Database Management Systems
印刷版ISSN：0975-5985
电子版ISSN：0975-5705
出版年度：2015
卷号：7
期号：6
页码：17
DOI：10.5121/ijdms.2015.7602
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Data analysis is an important issue in business world in many respects. Different business organizationshave data scientists, knowledge workers to analyze the business patterns and the customer behavior.Scrutinizing the past data to predict the future result has many aspects and understanding the nature of thequery is one of them. Business analysts try to do this from a big data set which may be stored in the form ofdata warehouse. In this context, analysis of historical data has become a subject of interest. Regarding this,different techniques are being developed to study the pattern of customer behavior. Materialized view is adatabase object which can be extensively used in data analysis. Different approaches are there to generateoptimum materialized view. This paper proposes an algorithm which generates a materialized view byconsidering the frequencies of the attributes taken from a database with the help of Apriori algorithm.
关键词：Data Warehouse; OLAP; Materialized View; Apriori Algorithm; Minimum Support Value
