A temporal and spatial locality theory for characterizing very large data bases

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/2163

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DC Field	Value	Language
dc.contributor	Madnick, Stuart E.	-
dc.contributor	Moulton, Allen.	-
dc.contributor	Sloan School of Management.	-
dc.date	2003-04-29T04:59:25Z	-
dc.date	2003-04-29T04:59:25Z	-
dc.date	1987	-
dc.date.accessioned	2013-05-31T23:07:28Z	-
dc.date.available	2013-05-31T23:07:28Z	-
dc.date.issued	2013-06-01	-
dc.identifier	1864-87	-
dc.identifier	http://hdl.handle.net/1721.1/2163	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/jspui/handle/1721	-
dc.description	Stuart E. Madnick, Allen Moulton.	-
dc.description	Bibliography: p. 22-23.	-
dc.format	23 p.	-
dc.format	1294975 bytes	-
dc.format	application/pdf	-
dc.language	eng	-
dc.publisher	Sloan School of Management, Massachusetts Institute of Technology	-
dc.relation	Working paper (Sloan School of Management) ; 1864-87.	-
dc.subject	HD28 .M414 no.1864-, 87	-
dc.title	A temporal and spatial locality theory for characterizing very large data bases	-
Appears in Collections:	MIT Items

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