Name
Title | ||
|---|---|---|
A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks. |
Abstract | ||
|---|---|---|
•A new meta-heuristic optimization approach to speed up Optimum-Path Forest clustering.•Intrusion detection in computer networks by means of Optimum-Path Forest clustering.•Comparison of several meta-heuristics for Optimum-Path Forest optimization. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.ins.2014.09.025 | Information Sciences |
Keywords | Field | DocType |
Intrusion detection,Optimum-path forest,Meta-heuristic,Clustering | Data mining,Computer science,Computer network,Artificial intelligence,Cluster analysis,Intrusion detection system,Speedup,Metaheuristic,Graph,Feature vector,Meta heuristic,Probability density function,Machine learning | Journal |
Volume | Issue | ISSN |
294 | C | 0020-0255 |
Citations | PageRank | References |
18 | 0.60 | 30 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kelton A. P. Costa | 1 | 125 | 8.66 |
| Luís A. M. Pereira | 2 | 129 | 8.87 |
| Rodrigo Y. M. Nakamura | 3 | 120 | 6.09 |
| Clayton Pereira | 4 | 82 | 8.52 |
| João P. Papa | 5 | 689 | 46.87 |
| Alexandre X. Falcão | 6 | 1877 | 132.30 |