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Computational immunology for anomaly detection

thesis
posted on 2006-01-01, 00:00 authored by Xiaoshu. Hang
The thesis makes a significant contribution to the issue of anomaly detection by introducing a computational immunology approach. Immunity-based anomaly detection in high dimensional space is systematically investigated and the proposed hybrid method (combining data mining techniques and computational immunology) improves both accuracy and efficiency.

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Pagination

xviii, 248 p. ; 30 cm.

Material type

thesis

Resource type

thesis

Language

eng

Notes

Thesis (Ph.D.)--Deakin University, Victoria, 2006.

Degree name

Ph.D.

Faculty

Faculty of Science

School

Engineering and Built Environment

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