A Genetic Algorithm Based Technique for Outlier Detection with Fast Convergence

Hongzhou Li
Hongzhou Li
Youwen Zhu
Youwen Zhu
Jerry Chun-Wei Lin
Jerry Chun-Wei Lin

ADMA, pp. 95-104, 2018.

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Abstract:

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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