Name
Title | ||
|---|---|---|
A novel reconstructed training-set SVM with roulette cooperative coevolution for financial time series classification. |
Abstract | ||
|---|---|---|
•A novel SVM is proposed for high noise and unbalanced distribution data.•Feature selection is improved by a novel method using the hierarchical relations in feature sets.•Roulette algorithm is introduced into cooperative coevolution. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2019.01.022 | Expert Systems with Applications |
Keywords | Field | DocType |
Reconstructed training-set SVM,Cooperative coevolution,Time series,Classification | Training set,Data mining,Data set,Computer science,Cooperative coevolution,Support vector machine,Synthetic data,Artificial intelligence,Roulette,Finance,Machine learning,Time series classification | Journal |
Volume | ISSN | Citations |
123 | 0957-4174 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chao Luo | 1 | 28 | 8.51 |
| Zhipeng Jiang | 2 | 33 | 6.56 |
| Yuanjie Zheng | 3 | 671 | 55.01 |