Multithreaded Maximum Flow based Frequent Item Selection Algorithm for Heterogeneous Storage Architecture
Apriori is an association rule mining algorithm which generates frequent items. In our proposed system, the transaction
data set is divided into chunks, making the system to work parallely. Each chunk is assigned to each thread where threads are
generated in multicore system. As per the minimum support given, the items which are greater than or equal to minimum support are
added in frequent items. Comparing with serial and parallel approach CPU utilization and time factor will be analyzed.
Keyword - Apriori, association rule mining, chunks, candidate item set, minimum support, frequent items.