Name
Abstract | ||
|---|---|---|
•A simple filter method to quantify the similarity between the observed and expected probabilities and generate scores for features.•Reduction of data dimensionality and features overlapping.•Results shows that the proposed method significantly reduces the numbers of selected features on 27 datasets.•Results analysis showed competitive performance of the proposed method over common Filter methods in terms of evaluation measures. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ins.2020.05.017 | Information Sciences |
Keywords | DocType | Volume |
Classification,Data mining,Dimensionality reduction,Feature selection,Information science,Machine learning,Ranking of variables | Journal | 534 |
ISSN | Citations | PageRank |
0020-0255 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fadi A. Thabtah | 1 | 538 | 32.28 |
| Firuz Kamalov | 2 | 21 | 5.12 |
| Suhel Hammoud | 3 | 130 | 7.82 |
| Seyed Reza Shahamiri | 4 | 3 | 1.41 |