An approach to spacecraft anomaly detection problem using Kernel Feature Space

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2005, Pages 401-410

  Fujimaki, Ryohei ^a,c   Yairi, Takehisa ^b   Machida, Kazuo ^b  

^a UNIVERSITY OF TOKYO   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

^c NONE   (Japan)

Author keywords

Anomaly detection; Kernel feature space; Principal component analysis; Spacecraft; Time series data; Von Mises Fisher distribution

Indexed keywords

DATA ACQUISITION; EXPERT SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; PROBABILISTIC LOGICS; SPACECRAFT;

ANOMALY DETECTION; KERNEL FEATURE SPACE; TIME SERIES DATA; VON MISES FISHER DISTRIBUTION;

PROBLEM SOLVING;

EID: 32344449062     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1081870.1081917     Document Type: Conference Paper

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