A Unified Subspace Outlier Ensemble Framework for Outlier Detection
作者： Zengyou He , Shengchun Deng , Xiaofei Xu
DOI: 10.1007/11563952_56
关键词:
摘要: This paper proposes a unified framework for outlier detection in high dimensional spaces from an ensemble-learning viewpoint. Moreover, to demonstrate the usefulness of our framework, we developed very simple and fast algorithm, namely SOE1, which only subspaces with one dimension is used mining outliers large categorical datasets. Experimental results superiority SOE1 algorithm.
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sci-hub.st 参考文章(9)
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