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

dc.contributor.author	Kabakchieva, Dorina
dc.date.accessioned	2009-11-24T15:45:10Z
dc.date.available	2009-11-24T15:45:10Z
dc.date.issued	2009-10-29
dc.identifier.citation	Kabakchieva, D., 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	bg_BG
dc.identifier.isbn	978-954-9526-62-2
dc.identifier.uri	http://hdl.handle.net/10506/241
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.	bg_BG
dc.language.iso	en	bg_BG
dc.publisher	Demetra EOOD	bg_BG
dc.subject	Business Intelligence	bg_BG
dc.subject	Telecommunications	bg_BG
dc.title	Business Intelligence Applications and Data Mining Methods in Telecommunications: A Literature Review	bg_BG
dc.type	Article	bg_BG
dc.relation.citedbygoogle	1	bg_BG