Name
Abstract | ||
|---|---|---|
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be inviable for a exhaustive search. In this paper we propose a new nature-inspired feature selection technique based on the Charged System Search (CSS), which has never been applied to this context so far. The wrapper approach combines the power of exploration of CSS together with the speed of the Optimum-Path Forest classifier to find the set of features that maximizes the accuracy in a validating set. Experiments conducted in four public datasets have demonstrated the validity of the proposed approach can outperform some well-known swarm-based techniques. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-40261-6_45 | COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PT I |
Keywords | Field | DocType |
Feature Felection, Charged System Search, Evolutionary Optimization | Data mining,Feature selection,Swarm behaviour,Brute-force search,Computer science,Artificial intelligence,Classifier (linguistics),Optimization problem,Machine learning,Binary number | Conference |
Volume | ISSN | Citations |
8047 | 0302-9743 | 3 |
PageRank | References | Authors |
0.45 | 5 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Douglas Rodrigues | 1 | 76 | 5.12 |
| Luís A. M. Pereira | 2 | 129 | 8.87 |
| João P. Papa | 3 | 689 | 46.87 |
| Caio C. O. Ramos | 4 | 52 | 4.92 |
| André N. Souza | 5 | 126 | 9.61 |
| luciene patrici papa | 6 | 10 | 2.61 |