An Optimization of Apriori Algorithm through the Usage of Parallel I/O and Hints

Association rules are very useful and interesting patterns in many data mining scenarios. Apriori algorithm is the best-known association rule algorithm. This algorithm interacts with a storage system in order to access input data and output the results. This paper shows how to optimize this algorithm adapting the underlying storage system to this problem through the usage of hints and parallel features.