Discovering novelty in spatio/temporal data using one-class support vector machines

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2009, Pages 2956-2963

  Smets, Koen ^a   Verdonk, Brigitte ^a   Jordaan, Elsa M ^b  

^a UNIVERSITY OF ANTWERP   (Belgium)

^b DOW BENELUX B V   (Netherlands)

Author keywords

Novelty detection; One class support vector machines; Spatio temporal data; Support vector data description

Indexed keywords

ANOMALY DETECTION; AUTOMATIC IDENTIFICATION; DATA SETS; DOMAIN DESCRIPTION; IN-PROCESS CONTROL; NOVELTY DETECTION; ONE-CLASS SUPPORT VECTOR MACHINE; ONE-CLASS SUPPORT VECTOR MACHINES; SPATIO/TEMPORAL DATA; SUPPORT VECTOR DATA DESCRIPTION; TECHNIQUES USED; TENSOR PRODUCTS; TRADITIONAL TECHNIQUES;

AUTOMATION; DATA DESCRIPTION; ELECTRONIC DATA INTERCHANGE; GEARS; MULTILAYER NEURAL NETWORKS; SET THEORY; SUPPORT VECTOR MACHINES; TENSORS; TIME SERIES; VECTORS;

PROCESS CONTROL;

EID: 70449455563     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5178801     Document Type: Conference Paper

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