查看文章

Data mining or knowledge discovery is the process of discovering patterns in large data sets. In data mining each algorithm has a different objective and to obtain meaningful and previously unknown patterns from large dataset is an emerging and challenging problem. Association rule mining is a technique for discovering unsuspected data dependencies and is one of the best known data mining techniques. The basic Idea to identify from a given database, consisting of item sets (eg shopping baskets), whether the occurrence of specific items, implies also the occurrence of other items with a relatively high probability. Apriori algorithm is one of the popular approaches which are used to extract association rules from data sets. One of the most popular data mining approaches is to find frequent item sets from a transaction dataset and derive association rules. In this paper, we describe the association rules which are …