A Genetic Algorithm Based Technique for Outlier Detection with Fast Convergence
ADMA, pp. 95-104, 2018.
In this paper, we study the problem of subspace outlier detection in high dimensional data space and propose a new genetic algorithm-based technique to identify outliers embedded in subspaces. The existing technique, mainly using genetic algorithm (GA) to carry out the subspace search, is generally slow due to its expensive fitness evalua...More
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