Tracking and Predicting the Evolution of Research Topics in Scientific Literature

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dc.contributor.authorBalili, Christineko
dc.contributor.authorSegev, Avivko
dc.contributor.authorLee, Uichinko
dc.date.accessioned2018-01-30T02:44:41Z-
dc.date.available2018-01-30T02:44:41Z-
dc.date.created2017-12-26-
dc.date.created2017-12-26-
dc.date.created2017-12-26-
dc.date.issued2017-12-11-
dc.identifier.citation2017 IEEE International Conference on Big Data-
dc.identifier.urihttp://hdl.handle.net/10203/238211-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleTracking and Predicting the Evolution of Research Topics in Scientific Literature-
dc.typeConference-
dc.identifier.wosid000428073701087-
dc.type.rimsCONF-
dc.citation.publicationname2017 IEEE International Conference on Big Data-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationBoston, MA-
dc.contributor.localauthorLee, Uichin-
dc.contributor.nonIdAuthorBalili, Christine-
dc.contributor.nonIdAuthorSegev, Aviv-
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CS-Conference Papers(학술회의논문)
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