DATA MINING

Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1451

Full metadata record

DC Field	Value	Language
dc.contributor.author	S, Anushya Devi	-
dc.contributor.author	N B, Haeshmietha	-
dc.date.accessioned	2020-09-14T06:04:13Z	-
dc.date.available	2020-09-14T06:04:13Z	-
dc.date.issued	2014-02-28	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/1451	-
dc.description.abstract	Data mining on large databases has been a major concern in research community, due to the difficulty of analyzing huge volumes of data using only traditional OLAP tools. This sort of process implies a lot of computational power, memory and disk I/O, which can only be provided by parallel computers. The database technology can be integrated to data mining techniques. Finally, we can also point out several advantages of addressing data consuming activities through a tight integration of a parallel database server and data mining techniques.	en_US
dc.language.iso	en	en_US
dc.publisher	Dr.SNSRajalakshmi College Of Arts and Science,Coimbatore	en_US
dc.subject	Data mining	en_US
dc.subject	OLAP tools	en_US
dc.subject	Computational power	en_US
dc.title	DATA MINING	en_US
dc.title.alternative	New Innovations in Computer Science	en_US
dc.type	Book	en_US
Appears in Collections:	National Conference

Files in This Item:

File	Description	Size	Format
DATA MINING.docx		10.14 kB	Microsoft Word XML	View/Open