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Sofia University "St. Kliment Ohridski"

Business Intelligence Applications and Data Mining Methods in Telecommunications: A Literature Review

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dc.contributor.author Kabakchieva, Dorina en_US
dc.date.accessioned 2011-10-24T20:26:13Z
dc.date.available 2011-10-24T20:26:13Z
dc.date.issued 2009 bg
dc.identifier.citation Kabakchieva, Dorina (2009), Business Intelligence Applications and Data Mining Methods in Telecommunications: A Literature Review, Proceedings of International Conference on SOFTWARE, SERVICES & SEMANTIC TECHNOLOGIES, October 28-29, 2009, Sofia, Bulgaria, ISBN 978-954-9526-62-2, p. 226 en_US
dc.identifier.isbn 978-954-9526-62-2 bg
dc.identifier.uri http://hdl.handle.net/10506/661
dc.description.abstract Telecommunication companies are operating today in an extremely challenging business environment. The Telecommunication industry is in possession of large quantities of data, generated from numerous operational systems, and is confronted with many business problems that need urgent handling. Naturally, it has been among the first to adopt Business Intelligence (BI) and Data Mining technologies. The main purpose of this paper is to present a literature review related to BI and Data Mining in Telecommunications, from business perspective - defining the main areas of BI and Data Mining applications, and from research perspective - identifying the most common Data Mining techniques and methods used. en_US
dc.format application/pdf bg
dc.language.iso eng bg
dc.publisher Demetra EOOD en_US
dc.relation info:eu-repo/grantAgreement/EC/FP7/205030 bg
dc.rights info:eu-repo/semantics/openAccess bg
dc.subject Business Intelligence en_US
dc.subject Data Mining en_US
dc.subject Telecommunications en_US
dc.title Business Intelligence Applications and Data Mining Methods in Telecommunications: A Literature Review en_US
dc.type info:eu-repo/semantics/conferencePaper bg
dc.relation.citedbygoogle 1 bg


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