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 |