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Database normalization

Known as: Canonical synthesis, Normalization (database), Update anomaly 
Database normalization, or simply normalization, is the process of organizing the columns (attributes) and tables (relations) of a relational… 
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Related topics

Related topics

50 relations
Anchor modelingBitemporal ModelingBoyce–Codd normal formColumn (database)

Broader (2)

Data modelingRelational algebra

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
Transforming traditional iris recognition systems to work on non-ideal situations
Non-ideal iris images can significantly affect the accuracy of iris recognition systems for two reasons: 1) they cannot be… 
2007
2007
Combining On-Line and Off-Line Systems for Handwriting Recognition
In this paper we present a new multiple classifier system (MCS)for recognizing notes written on a whiteboard. This MCS combines… 
2005
2005
Bifurcation of limit cycles in a quintic Hamiltonian system under a sixth-order perturbation
Highly Cited
2005
Highly Cited
2005
INTEGRATION OF MULTIPLE CUES IN BIOMETRIC SYSTEMS
INTEGRATION OF MULTIPLE CUES IN BIOMETRIC SYSTEMS By Karthik Nandakumar Biometrics refers to the automatic recognition of… 
Highly Cited
2000
Highly Cited
2000
Face detection and precise eyes location
Presents a robust and precise scheme for face detection and precise facial feature location. Multiscale filters are used to… 
1999
1999
New results in fuzzy-set-based detection of land mines with GPR
Algorithms for detecting land mines using the GEO-CENTERS Energy Focusing Ground Penetrating Radar (EFGPR) are presented. Key… 
Highly Cited
1998
Highly Cited
1998
Data-driven environmental compensation for speech recognition: A unified approach
Highly Cited
1996
Highly Cited
1996
Normalization Based on Fuzzy Functional Dependency in a Fuzzy Relational Data Model
Highly Cited
1993
Highly Cited
1993
An experimental study of ?? ? hadrons at LEP
Highly Cited
1992
Highly Cited
1992
Functional dependencies and normal forms in the fuzzy relational database model
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