A genetic approach for efficient outlier detection in projected space

DOI10.1016/j.patcog.2007.10.003zbMath1131.68083OpenAlexW2023332591MaRDI QIDQ2469729

Sanghamitra Bandyopadhyay, Santanu Santra

Publication date: 7 February 2008

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2007.10.003

zbMATH Keywords

genetic algorithmoutliergene expressiondeviation detectiongrid count treeprojected dimension

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (1)

IFS-CoCo: instance and feature selection based on cooperative coevolution with nearest neighbor rule

Cites Work

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• A convergence theorem for genetic algorithms
• The analysis of gene expression data. Methods and software
• Data mining and knowledge discovery with evolutionary algorithms
• Optimized Crossover for the Independent Set Problem
• Discovering cluster-based local outliers

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