An Efficient Algorithm for Mining Association Rules using Different Parameters for frequent item sets

Abstract

As the advancement of information technology increases, the amount of data also increases. So, to handle the huge amount of data, Data mining plays an important role. Data mining is a process of extraction of valuable and unknown information from the large databases. There are various techniques and tasks but we will discuss about association rule mining and apriori algorithm. Association rule mining is a descriptive technique that is used to find out the interesting patterns among the data items stored in the database. Apriori algorithm mines the frequent item sets and association rule learning over the transactional databases. In this research work, we have taken different datasets and applied Apriori Algorithm. After that we have analyzed the results by taking different parameters.
Key words: Data mining, Association Rule Mining, Apriori Algorithm, Frequent Item set etc.