A carregar...
Publicação
Temporal Anomaly Detection: An Artificial Immune Approach Based on T-Cell Activation, Clonal Size Regulation and Homeostasis
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| This paper presents an artificial immune system (AIS) based on Grossman's tunable activation threshold (TAT) for temporal anomaly detection. We describe the generic AIS framework and the TAT model adopted for simulating T Cells behaviour, emphasizing two novel important features: the temporal dynamic adjustment of T Cells clonal size and its associated homeostasis mechanism. We also present some promising results obtained with artificially generated data sets, aiming to test the appropriateness of using TAT in dynamic changing environments, to distinguish new unseen patterns as part of what should be detected as normal or as anomalous. We conclude by discussing results obtained thus far with artificially generated data sets. | 188.3 KB | Adobe PDF |
Orientador(es)
Resumo(s)
This paper presents an artificial immune system (AIS) based on Grossman's tunable activation threshold (TAT) for temporal anomaly detection. We describe the generic AIS framework and the TAT model adopted for simulating T Cells behaviour, emphasizing two novel important features: the temporal dynamic adjustment of T Cells clonal size and its associated homeostasis mechanism. We also present some promising results obtained with artificially generated data sets, aiming to test the appropriateness of using TAT in dynamic changing environments, to distinguish new unseen patterns as part of what should be detected as normal or as anomalous. We conclude by discussing results obtained thus far with artificially generated data sets.
Descrição
EISBN - 9781441959133
Fonte: https://repositorio.inesctec.pt/items/c35955e7-8639-41f5-9b9b-179c1a80beed
Fonte: https://repositorio.inesctec.pt/items/c35955e7-8639-41f5-9b9b-179c1a80beed
Palavras-chave
Artificial immune systems Pattern recognition Anomaly detection Homeostasis
Contexto Educativo
Citação
Antunes, M.J., Correia, M.E. (2010). Temporal Anomaly Detection: An Artificial Immune Approach Based on T Cell Activation, Clonal Size Regulation and Homeostasis. In: Arabnia, H. (eds) Advances in Computational Biology. Advances in Experimental Medicine and Biology, vol 680. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-5913-3_33.
Editora
Springer Nature
Licença CC
Sem licença CC