Symbolic time series analysis for anomaly detection : A comparative evaluation
- Author
- CHIN, Shin C1 ; RAY, Asok1 ; RAJAGOPALAN, Venkatesh1
[1] The Pennsylvania State University, University Park, PA 16802, United States - Source
Signal processing. 2005, Vol 85, Num 9, pp 1859-1868, 10 p ; ref : 11 ref
- CODEN
- SPRODR
- ISSN
- 0165-1684
- Scientific domain
- Telecommunications
- Publisher
- Elsevier Science, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Complex systems Fault detection Pattern recognition Symbolic dynamics
- Keyword (fr)
- Analyse série temporelle Détection défaut Echelle temps Evaluation performance Extraction caractéristique Méthode dynamique Reconnaissance forme Système complexe Système dynamique Système non linéaire Système paramètre variable Série temporelle Théorie automate Traitement donnée Traitement signal
- Keyword (en)
- Time-series analysis Defect detection Time scale Performance evaluation Feature extraction Dynamic method Pattern recognition Complex system Dynamical system Non linear system Time varying system Time series Automata theory Data processing Signal processing
- Keyword (es)
- Detección imperfección Escala tiempo Evaluación prestación Método dinámico Reconocimiento patrón Sistema complejo Sistema dinámico Sistema no lineal Sistema parámetro variable Serie temporal Teoría autómata Tratamiento datos Procesamiento señal
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05A Pattern recognition
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 16951045
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.sigpro.2005.03.014 
https://dx.doi.org/10.1016/j.sigpro.2005.03.014
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