Evolving Association Rule Using Weka for The Extraction of Patterns in Online Transactions

Data mining is used for mining data from databases and finding out meaningful patterns from the database. Association rule mining is an important component of data mining. Association rules are an important class of methods of finding patterns in data. Various Open source tools are available for experimentation. In this paper we have tried to evolve association rule using Weka and based on it a new algorithm will be developed. Many organizations are now using these data mining techniques. Weka formally called Waikato environment for knowledge learning is an open source which supports many different data mining tasks such as data preprocessing, classification, clustering, association and feature selection.