Efficient Discovery of Highly Interrelated Users in One-Way Communications

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dc.contributor.authorSong, Ji-Hwanko
dc.contributor.authorHaam, Deok-Minko
dc.contributor.authorLee, Yoon-Joonko
dc.contributor.authorKim, Myoung-Hoko
dc.date.accessioned2013-03-09T18:36:26Z-
dc.date.available2013-03-09T18:36:26Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2011-03-
dc.identifier.citationIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E94D, no.3, pp.714 - 717-
dc.identifier.issn0916-8532-
dc.identifier.urihttp://hdl.handle.net/10203/97159-
dc.description.abstractIn this paper, we introduce a new sequential pattern, the Interactive User Sequence Pattern (IUSP). This pattern is useful for grouping highly interrelated users in one-way communications such as e-mail, SMS, etc., especially when the communications include many spam users. Also, we propose an efficient algorithm for discovering IUSPs from massive one-way communication logs containing only the following information: senders, receivers, and dates and times. Even though there is a difficulty in that our new sequential pattern violates the Apriori property, the proposed algorithm shows excellent processing performance and low storage cost in experiments on a real dataset.-
dc.languageEnglish-
dc.publisherIEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG-
dc.subjectSEQUENCES-
dc.titleEfficient Discovery of Highly Interrelated Users in One-Way Communications-
dc.typeArticle-
dc.identifier.wosid000290125900035-
dc.identifier.scopusid2-s2.0-79952176456-
dc.type.rimsART-
dc.citation.volumeE94D-
dc.citation.issue3-
dc.citation.beginningpage714-
dc.citation.endingpage717-
dc.citation.publicationnameIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS-
dc.contributor.localauthorLee, Yoon-Joon-
dc.contributor.localauthorKim, Myoung-Ho-
dc.type.journalArticleArticle-
dc.subject.keywordAuthordata mining-
dc.subject.keywordAuthorsequential pattern-
dc.subject.keywordAuthorApriori property violation-
dc.subject.keywordPlusSEQUENCES-
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