Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4944312 | Information Sciences | 2017 | 14 Pages |
Abstract
Our experimental results show that the ACPRISM produced the lowest number of rules, and is much more efficient and more scalable than all considered algorithms with regard to learning times. Finally, the ACPRISM outperformed the CBA, MCAR, PRISM and RIPPER algorithms in terms of predictive accuracy, and produced comparable results to the FACA algorithm.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Wa'el Hadi, Ghassan Issa, Abdelraouf Ishtaiwi,