Scalability measurement of association rule mining algorithms

Abstract EN

In this paper, we evaluate the scalability of association rule mining algorithms in-terms of execution times and memory usage, we conducted the performance using two main association rules algorithms which exhibits best results among other reputed algorithms known as Apriori and FP-Growth algorithms.

The simulation has been conducted to measure two important factors: execution times and memory usage.

The obtained results showed that the FP-Growth outperforms Apriori algorithms achieving less execution time while Apriori maintaining low memory usage