Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6856261 | Information Sciences | 2018 | 44 Pages |
Abstract
To test the proposed method's performance, seven different classifiers were used: PSO oriented, k-Nearest-Neighbor, Naive Bayes, Random Forest, RIDOR, Support Vector Machine and J48. Experiments conducted on the two independent datasets demonstrated that the method proposed here returns highly satisfactory results, outperforming the other state-of-the-art methods.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Rafal Doroz, Przemyslaw Kudlacik, Piotr Porwik,