Data Mining for Scientific Publications

dc.contributor.author	Vlase, Mihai
dc.contributor.author	Negulescu, Radu
dc.date.accessioned	2016-01-13T12:44:59Z
dc.date.available	2016-01-13T12:44:59Z
dc.date.issued	2006
dc.identifier.uri	http://10.11.10.50/xmlui/handle/123456789/3871
dc.description	The Annals of "Dunarea de Jos" University of Galati	en_US
dc.description.abstract	Searching scientific literature on the Web is a difficult task because of the large volume and the complex dynamics of the scientific literature and because of the complexity and narrow target of typical queries. The problem is compounded by differences among publication standards and formats used in various fields of knowledge. In this paper we review several specific solutions that apply or adapt data mining techniques to searching scientific publications.	en_US
dc.language.iso	en	en_US
dc.publisher	"Dunarea de Jos" University of Galati	en_US
dc.subject	search engine	en_US
dc.subject	relevance	en_US
dc.title	Data Mining for Scientific Publications	en_US
dc.type	Article	en_US