Cargando…
Anomaly detection based on a dynamic Markov model
Anomaly detection in sequence data is becoming more and more important in a wide variety of application domains such as credit card fraud detection, health care in medical field, and intrusion detection in cyber security. In the existing anomaly detection approaches, Markov chain techniques are wide...
Autores principales: | Ren, Huorong, Ye, Zhixing, Li, Zhiwu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7094635/ https://www.ncbi.nlm.nih.gov/pubmed/32226110 http://dx.doi.org/10.1016/j.ins.2017.05.021 |
Ejemplares similares
-
Collective Anomalies Detection for Sensing Series of Spacecraft Telemetry with the Fusion of Probability Prediction and Markov Chain Model
por: Pang, Jingyue, et al.
Publicado: (2019) -
Building Markov state models with solvent dynamics
por: Gu, Chen, et al.
Publicado: (2013) -
Hypovigilance Detection for UCAV Operators Based on a Hidden Markov Model
por: Choi, Yerim, et al.
Publicado: (2014) -
Application
of Molecular-Dynamics Based Markov State
Models to Functional Proteins
por: Malmstrom, Robert D., et al.
Publicado: (2014) -
Semi-Markov Graph Dynamics
por: Raberto, Marco, et al.
Publicado: (2011)