Identification (information): Difference between revisions
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{{short description|Mapping of a known quantity to an unknown entity so as to make it known}} |
{{short description|Mapping of a known quantity to an unknown entity so as to make it known}} |
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{{more citations needed|article|date=January 2021}} |
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[[File:Parcelusarus2008.jpg|thumbnail|The code "420 001270000 99 9505" uniquely identifies this parcel.]] |
[[File:Parcelusarus2008.jpg|thumbnail|The code "420 001270000 99 9505" uniquely identifies this parcel.]] |
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For [[Data storage device|data storage]], '''identification''' is the capability to find, retrieve, report, change, or delete specific [[data]] without [[ambiguity]]. This applies especially to [[information]] stored in databases. In [[Database normalization|database normalisation]], the process of organizing the fields and tables of a relational database to minimize redundancy and dependency, is the central, defining function of the discipline.<ref>{{Cite book|last=Han|first=Jiawei|title=Data Mining: Concepts and Techniques|last2=Pei|first2=Jian|last3=Kamber|first3=Micheline|date=2011-06-09|publisher=Elsevier|isbn=978-0-12-381480-7|language=en}}</ref> |
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== See also == |
== See also == |
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* [[Authentication]] |
* [[Authentication]] |
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* [[Domain Name System]] |
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* [[Identification (disambiguation)]] |
* [[Identification (disambiguation)]] |
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* [[Forensic profiling]] |
* [[Forensic profiling]] |
Latest revision as of 06:33, 16 November 2024
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For data storage, identification is the capability to find, retrieve, report, change, or delete specific data without ambiguity. This applies especially to information stored in databases. In database normalisation, the process of organizing the fields and tables of a relational database to minimize redundancy and dependency, is the central, defining function of the discipline.[1]
See also
[edit]- Authentication
- Domain Name System
- Identification (disambiguation)
- Forensic profiling
- Profiling (information science)
- Unique identifier
References
[edit]- ^ Han, Jiawei; Pei, Jian; Kamber, Micheline (2011-06-09). Data Mining: Concepts and Techniques. Elsevier. ISBN 978-0-12-381480-7.