Name
Abstract | ||
|---|---|---|
Imbalance classification is one of the most challenging research problems in machine learning. Techniques for two-class imbalance classification are relatively mature nowadays, yet multi-class imbalance learning is still an open problem. Moreover, the community lacks a suitable software tool that can integrate the major works in the field. In this paper, we present Multi-Imbalance, an open source software package for multi-class imbalanced data classification. It provides users with seven different categories of multi-class imbalance learning algorithms, including the latest advances in the field. The source codes and documentations for Multi-Imbalance are publicly available at https://github.com/chongshengzhang/Multi_Imbalance. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.knosys.2019.03.001 | Knowledge-Based Systems |
Keywords | Field | DocType |
Multi-class imbalance leaning,Imbalanced data classification | Software tool,Data mining,Open problem,Source code,Computer science,Artificial intelligence,Data classification,Open source software,Machine learning | Journal |
Volume | ISSN | Citations |
174 | 0950-7051 | 15 |
PageRank | References | Authors |
0.55 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chongsheng Zhang | 1 | 60 | 3.61 |
| Jingjun Bi | 2 | 27 | 1.09 |
| Shixin Xu | 3 | 15 | 0.55 |
| Enislay Ramentol | 4 | 128 | 4.45 |
| Gaojuan Fan | 5 | 15 | 1.22 |
| Baojun Qiao | 6 | 18 | 2.27 |
| Hamido Fujita | 7 | 2644 | 185.03 |