Fageeri, S.O. and Ahmad, R. and Alhussian, H. (2016) A performance analysis of association rule mining algorithms. In: UNSPECIFIED.
Full text not available from this repository.Abstract
In this paper, we evaluate the performance of association rule mining algorithms in-terms of execution times and memory usage using the CPU profiler of Java VisualVM. Mainly, and according to a previous work, we studied the performance of two main association rules algorithms which exhibits best results interms of execution time and memory usage: Binary-Based algorithm, and Eclat algorithm. The results of the CPU profiler of Java VisualVM showed that Binary-Based algorithm performs better than Eclat algorithm in-terms of both execution times and memory usage. In fact the results showed that Eclat algorithm sometimes even fails to produce any results and reports running out of memory exceptions. © 2016 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Impact Factor: | cited By 2 |
Uncontrolled Keywords: | Association rules; Bins; Information science, Eclat algorithms; Memory usage; Out-of-memory; Performance analysis; Rule mining algorithms, Data mining |
Depositing User: | Ms Sharifah Fahimah Saiyed Yeop |
Date Deposited: | 25 Mar 2022 06:53 |
Last Modified: | 25 Mar 2022 06:53 |
URI: | http://scholars.utp.edu.my/id/eprint/30458 |