Integrating Data Mining Into Business Intelligence

dc.contributor.author	Enache, Maria Cristina
dc.date.accessioned	2015-10-27T11:16:12Z
dc.date.available	2015-10-27T11:16:12Z
dc.date.issued	2006
dc.identifier.issn	1584-0409
dc.identifier.uri	http://10.11.10.50/xmlui/handle/123456789/3519
dc.description	Articolul face parte din Analele Universităţii " Dunărea de Jos" din Galaţi: Fascicula I "Economie şi Informatică Aplicată" din 2005	en_US
dc.description.abstract	Data Mining is a broad term often used to describe the process of using database technology, modeling techniques, statistical analysis, and machine learning to analyze large amounts of data in an automated fashion to discover hidden patterns and predictive information in the data. By building highly complex and sophisticated statistical and mathematical models, organizations can gain new insight into their activities. The purpose of this document is to provide users with a background of a few key data mining concepts and business intelligence and about benefits of integrating business intelligence and data mining	en_US
dc.language.iso	en	en_US
dc.publisher	Universitatea "Dunărea de Jos" din Galaţi	en_US
dc.subject	Business Intelligence	en_US
dc.subject	platform	en_US
dc.subject	data mining	en_US
dc.title	Integrating Data Mining Into Business Intelligence	en_US
dc.type	Article	en_US