Name
Abstract | ||
|---|---|---|
This paper describes the application of a multiobjective GRASP to rule selection, where previously generated simple rules are combined to give rule sets that minimize complexity and misclassfication cost. As rule selection performance depends heavily on the diversity and quality of the previously generated rules, this paper also investigates a range of multiobjective approaches for creating this initial rule set and the effect on the quality of the resulting classifier. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1569901.1569990 | GECCO |
Keywords | Field | DocType |
rule selection performance,multiobjective grasp,simple rule,resulting classifier,multiobjective approach,initial rule set,misclassfication cost,grasp,data mining,database management,multiobjective optimization | GRASP,Computer science,Multi-objective optimization,Rule induction,Artificial intelligence,Classifier (linguistics),Machine learning | Conference |
Citations | PageRank | References |
3 | 0.40 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alan P. Reynolds | 1 | 157 | 11.57 |
| David W. Corne | 2 | 2161 | 152.00 |
| Beatriz De La Iglesia | 3 | 191 | 20.07 |