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- W2113747757 abstract "Ranking is an important task in data mining and knowledge discovery. We propose a novel approach called PECS algorithm to improve the overall ranking performance of a given ensemble. We formally analyse the sufficient and necessary condition under which PECS algorithm can effectively improve ensemble ranking performance. The experiments with real-world data sets show that this new approach achieves significant improvements in ranking over the original bagging and Adaboost ensembles." @default.
- W2113747757 created "2016-06-24" @default.
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- W2113747757 date "2006-01-05" @default.
- W2113747757 modified "2023-09-27" @default.
- W2113747757 title "Partial Ensemble Classifiers Selection for Better Ranking" @default.
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- W2113747757 doi "https://doi.org/10.1109/icdm.2005.119" @default.
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