A Novel Algorithm for Mining Frequent Item-Sets From Large Database

Data Mining is the process of extracting interesting and previously unknown patterns and correlations from huge amounts of data. Association rule mining, a descriptive mining technique of data mining is the process of discovering items, which tend to occur together in transactions. As the data to be mined is large, the time taken for accessing data is considerable. In this paper, a new association rule mining algorithm which generates the frequent itemsets in a single pass over the database is presented.