Detecting anomalies in cross-classified streams: a Bayesian approach.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/kais/Agarwal07
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dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/journals/kais/Agarwal07
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dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Deepak_Agarwal
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foaf:
homepage
<
http://dx.doi.org/doi.org%2F10.1007%2Fs10115-006-0036-4
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foaf:
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DBLP journals/kais/Agarwal07
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dc:
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DOI doi.org%2F10.1007%2Fs10115-006-0036-4
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dcterms:
issued
2007
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swrc:
journal
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https://dblp.l3s.de/d2r/resource/journals/kais
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rdfs:
label
Detecting anomalies in cross-classified streams: a Bayesian approach.
(xsd:string)
foaf:
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<
https://dblp.l3s.de/d2r/resource/authors/Deepak_Agarwal
>
swrc:
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1
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swrc:
pages
29-44
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rdfs:
seeAlso
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http://dblp.uni-trier.de/db/journals/kais/kais11.html#Agarwal07
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rdfs:
seeAlso
<
https://doi.org/10.1007/s10115-006-0036-4
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dc:
subject
Multidimensional; Multiple testing; Hierarchical Bayesian; Active learning
(xsd:string)
dc:
title
Detecting anomalies in cross-classified streams: a Bayesian approach.
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swrc:Article
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11
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