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Another Fuzzy Anomaly Detection System Based on Ant Clustering Algorithm

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dc.contributor.authorAminanto, Erzako
dc.contributor.authorKim, HakJuko
dc.contributor.authorKim, Kyungminko
dc.contributor.authorKim, Kwangjoko
dc.date.accessioned2016-12-01T01:38:44Z-
dc.date.available2016-12-01T01:38:44Z-
dc.date.created2016-11-18-
dc.date.created2016-11-18-
dc.date.issued2016-01-20-
dc.identifier.citation2016 Symposium on Cryptography and Information Security (SCIS 2016)-
dc.identifier.urihttp://hdl.handle.net/10203/214364-
dc.languageEnglish-
dc.publisherThe Institute of Electronics, Information and Communication Engineers (IEICE)-
dc.titleAnother Fuzzy Anomaly Detection System Based on Ant Clustering Algorithm-
dc.typeConference-
dc.identifier.scopusid2-s2.0-85008343612-
dc.type.rimsCONF-
dc.citation.publicationname2016 Symposium on Cryptography and Information Security (SCIS 2016)-
dc.identifier.conferencecountryJA-
dc.identifier.conferencelocationKumamoto-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKim, Kwangjo-
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