International Journal of Computer Science and Mobile Computing (IJCSMC)
Now-a-days, due to rapid growth of data in organizations, large scale data processing is a focal point of information technology. To deal with this advancement in data collection and storage technologies, designing and implementing large-scale parallel algorithm for data mining is gaining more interest. In data mining, association rule learning is a popular and well researched method for discovering interesting relations between variables in large databases. This paper aims to extract frequent patterns among set of items in the transaction databases or other repositories.