Identification (information): Difference between revisions
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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]]. |
For [[Data storage device|data storage]], '''identification''' is the capability to find, retrieve, report, change, or delete specific [[data]] without [[ambiguity]]. For example, user profiles, tracking numbers for products, etc that are 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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Revision as of 07:51, 20 February 2024
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For data storage, identification is the capability to find, retrieve, report, change, or delete specific data without ambiguity. For example, user profiles, tracking numbers for products, etc that are 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
- Ferdinand Icatlo
- Identification (disambiguation)
- Forensic profiling
- Profiling (information science)
- Unique identifier
References
- ^ Han, Jiawei; Pei, Jian; Kamber, Micheline (2011-06-09). Data Mining: Concepts and Techniques. Elsevier. ISBN 978-0-12-381480-7.
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