Dynamic Ensemble Re-Construction for Better Ranking Jin Huang and Charles X. Ling   View Paper (PDF)   Return to Session 15: Statistical Methods I 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 whichPECS 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 ©2006 Association for Computing Machinery