A practitioner's guide to data base compression tutorial
dc.contributor.author | Severance, Dennis G. | en_US |
dc.date.accessioned | 2006-04-07T18:47:41Z | |
dc.date.available | 2006-04-07T18:47:41Z | |
dc.date.issued | 1983 | en_US |
dc.identifier.citation | Severance, Dennis G. (1983)."A practitioner's guide to data base compression tutorial." Information Systems 8(1): 51-62. <http://hdl.handle.net/2027.42/25353> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6V0G-48TD1MW-71/2/d4772d45547c9e4065e8ed4e49cc58db | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/25353 | |
dc.description.abstract | Data compression techniques can improve information system performance by reducing the size of a database by as much as ninety percent. This paper is written to provide assistance to practitioners considering the use of data compression for the storage of a commercial database. It reviews a wealth of literature on data compression and presents facts and guidelines which will assist system designers in evaluating the costs and benefits of compression and in selecting techniques appropriate for their needs. | en_US |
dc.format.extent | 1382753 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | A practitioner's guide to data base compression tutorial | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Philosophy | en_US |
dc.subject.hlbsecondlevel | Computer Science | en_US |
dc.subject.hlbtoplevel | Humanities | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | The University of Michigan, Ann Arbor, MI 48109, U.S.A. | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/25353/1/0000800.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0306-4379(83)90030-3 | en_US |
dc.identifier.source | Information Systems | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.