Title | ||
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RuleCOSI: Combination and simplification of production rules from boosted decision trees for imbalanced classification. |
Abstract | ||
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•A combination algorithm for ensemble of decision trees is proposed.•RuleCOSI algorithm transforms boosted decision trees into a single ruleset.•The combined rules are simpler than original rules of boosting ensemble.•The performance of the simple production rules was acceptable. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.eswa.2019.02.012 | Expert Systems with Applications |
Keywords | Field | DocType |
Ensemble learning,Boosting,Decision trees,Rule extraction,Imbalanced classification | Data mining,Decision tree,Manufacturing,Regression,Computer science,Matrix (mathematics),Binary decision diagram,Boosting (machine learning),Artificial intelligence,Ensemble learning,Alternating decision tree,Machine learning | Journal |
Volume | ISSN | Citations |
126 | 0957-4174 | 2 |
PageRank | References | Authors |
0.36 | 19 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Josué Obregon | 1 | 15 | 2.43 |
Aekyung Kim | 2 | 16 | 2.09 |
Jae-Yoon Jung | 3 | 297 | 31.94 |