Date of Publication :29th March 2018

Abstract: The data mining approach, a relatively new technique, is deployed in large databases to find novel and useful patterns that might otherwise remain unknown. Association rule learning which follows the apriori algorithm is a popular and well research technique for discovering interesting relations between variables in large databases. Among various algorithms available for mining frequent item set we include apriori algorithm. Main objective of apriori algorithm is to find out hidden information which is the major goal data mining. In this study, we use United States Congressional Voting dataset and analyze the information based on predefined rules

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