Anomaly detection using augmented negative selection algorithm

Jinquan Zeng

doi:10.1016/j.jbiotec.2008.07.017

ScienceGate Book Chapters

JOURNAL ARTICLE

Anomaly detection using augmented negative selection algorithm

Jinquan Zeng

Year: 2008 Journal: Journal of Biotechnology Vol: 136 Pages: S112-S112 Publisher: Elsevier BV

DOI: 10.1016/j.jbiotec.2008.07.017

Get Full-Text PDF Get Analytical Report

Keywords:

Anomaly detection Computer science Selection (genetic algorithm) Algorithm Anomaly (physics) Artificial intelligence Pattern recognition (psychology) Physics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.11

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Artificial Immune Systems Applications

Physical Sciences → Engineering → Biomedical Engineering

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Mathematical and Theoretical Epidemiology and Ecology Models

Health Sciences → Medicine → Public Health, Environmental and Occupational Health

Anomaly detection using augmented negative selection algorithm

Metrics

Topics

Related Documents

Anomaly Detection Using a Novel Negative Selection Algorithm

Anomaly Detection-Based Negative Selection Algorithm

Augmented Negative Selection Algorithm with Complete Random Subspace Technique for Anomaly Detection

Anomaly detection in multidimensional data using negative selection algorithm

Negative Selection Algorithm for Unsupervised Anomaly Detection