Abstract

There are many theories and approaches that have been developed to find pattern and association rule.One of the methods that have been developed is apriori method.Any method previously finds itemset using graph approaches that have weakness on huge memory usage.The lack of memory will affect many item that able to process.Further, many approaches use internal data structure that very complex and need resource addition to do this computation.In this research, apriori method was used to get association rule that describe relation between items in transactional database.The database that used is three kinds that have different in total transactional.Based on the empirical test, can be concluded that computational time to get asociation rule is influenced by the number of transaction and using "tidlist" data structure in apriori methods can reduce time because only read database one time.

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