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Factor-analysis based anomaly detection and clustering

Author
NINGNING WU1 ; JING ZHANG2
[1] University of Arkansas at Little Rock, Information Science, 2801 S. University Ave, 72204 Little Rock, United States
[2] University of Arkansas at Little Rock, Applied Science, 2801 S. University Ave, 72204 Little Rock, United States
Source

Decision support systems. 2006, Vol 42, Num 1, pp 375-389, 15 p ; ref : 30 ref

ISSN
0167-9236
Scientific domain
Electronics; Computer science
Publisher
Elsevier Science, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
Anomaly detection Factor analysis Intrusion detection
Keyword (fr)
Amas Analyse amas Analyse factorielle Anomalie Classification Détecteur intrus Modélisation Observation aberrante Similitude Solution similitude Système détection intrusion Sécurité informatique
Keyword (en)
Cluster Cluster analysis Factor analysis Anomaly Classification Intruder detector Modeling Outlier Similarity Similarity solution Intrusion detection systems Computer security
Keyword (es)
Montón Analisis cluster Análisis factorial Anomalía Clasificación Detector intruso Modelización Observación aberrante Similitud Solución semejanza Seguridad informatica
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07C Memory and file management (including protection and security)

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
18397284

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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