|
Paper | Algorithm |
|
[27] | Artificial Neural Networks, Statistical Classifiers and Hidden Markov Models. |
|
[23] | C4.5, Random Forest and Native Bayes Tree. |
|
[33] | Differential Evolution. |
|
[31] | k-means, Ant Colony Optimization. |
|
[35] | Naive Bayes. |
|
[37] | Particle Swarm Optimization. |
|
[47] | - |
|
[49] | Bat Algorithm. |
|
[39] | Particle Swarm Optimization. |
|
[41] | K-Means. |
|
[43] | Artificial Neural Networks. |
|
[45] | AISReact. |
|
[24] | Association Rule Mining Algorithms. |
|
[53] | Association Rule Mining Algorithms. |
|
[51] | Inductive Logic Programming |
|
[36] | Gaussian Naive Bayes, Support Vector Machine and Random Forest. |
|
[30] | Random Forest and Classification and Regression Trees. |
|
[38] | Linear Algebra Methods, Artificial Neural Networks and Random Forest. |
|
[40] | Decision tree, Artificial Neural Networks and Support Vector Machine. |
|
[42] | Naive Bayes, Decision tree, Support Vector Machine and K Nearest Neighbors. |
|
[28] | Naive Bayes, Support Vector Machine and Random Forest. |
|
[32] | Random Forest. |
|
[26] | K-means. |
|
[34] | Artificial Neural Networks. |
|
[25] | Hierarchical Clustering. |
|
[44] | Artificial Neural Networks. |
|
[29] | Particle Swarm Optimization, Support Vector Machine, C4.5. |
|
[52] | Bayesian Belief Networks, Naive Bayes and K-means. |
|
[46] | Random Forest. |
|
[48] | - |
|
[50] | - |
|