Name
Abstract | ||
|---|---|---|
•We have tackled the problem of noise in Big Data classification.•Two Big Data preprocessing approaches to remove noisy examples are proposed: HME-BD and HTE-BD.•HME-BD is a homogeneous ensemble filter, while HTE-BD is a heterogeneous ensemble filter.•The proposed algorithms constitute a first suitable noise filtering approach in Big Data domains. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ins.2018.12.002 | Information Sciences |
Keywords | DocType | Volume |
Big Data,Smart Data,Classification,Class noise,Label noise. | Journal | 479 |
ISSN | Citations | PageRank |
0020-0255 | 6 | 0.45 |
References | Authors | |
22 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Diego García-Gil | 1 | 19 | 2.69 |
| Julian Luengo | 2 | 2418 | 77.15 |
| Salvador García | 3 | 4151 | 118.45 |
| Francisco Herrera | 4 | 27391 | 1168.49 |