Name
Title | ||
|---|---|---|
Investigation of rotation forest ensemble method using genetic fuzzy systems for a regression problem |
Abstract | ||
|---|---|---|
The rotation forest ensemble method using a genetic fuzzy rule-based system as a base learning algorithm was developed in Matlab environment. The method was applied to the real-world regression problem of predicting the prices of residential premises based on historical data of sales/purchase transactions. The computationally intensive experiments were conducted aimed to compare the accuracy of ensembles generated by our proposed method with bagging, repeated holdout, and repeated cross-validation models. The statistical analysis of results was made employing nonparametric Friedman and Wilcoxon statistical tests. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-28487-8_41 | ACIIDS (1) |
Keywords | Field | DocType |
genetic fuzzy rule-based system,historical data,cross-validation model,repeated holdout,wilcoxon statistical test,statistical analysis,computationally intensive experiment,regression problem,genetic fuzzy system,matlab environment,rotation forest ensemble method,ensemble models,bagging,cross validation | Data mining,MATLAB,Ensemble forecasting,Computer science,Wilcoxon signed-rank test,Nonparametric statistics,Artificial intelligence,Cross-validation,Statistical hypothesis testing,Genetic fuzzy systems,Machine learning,Fuzzy rule | Conference |
Volume | ISSN | Citations |
7196 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 22 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tadeusz Lasota | 1 | 348 | 25.33 |
| Zbigniew Telec | 2 | 170 | 14.92 |
| Bogdan Trawiński | 3 | 288 | 24.72 |
| Grzegorz Trawiński | 4 | 47 | 4.81 |