Analysis of techniques to compare complex data sets

D. E. Coleby; A. P. Duffy

doi:10.1108/03321640210451440

Analysis of techniques to compare complex data sets

D. E. Coleby, A. P. Duffy

De Montfort University

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

Abstract

This paper analyses a number of techniques that can be used to compare complex data sets, such as those arising from electromagnetic simulation and experimentation. The techniques assessed are: correlation, several reliability factors and feature selective validation. The study examines the performance of each technique for data comparison. The paper provides a comprehensive summary of the techniques and compares their performance and comments on their use in the validation of numerical modelling codes and model designs.

Original language	English
Pages (from-to)	540-553
Number of pages	14
Journal	COMPEL
Volume	21
Issue number	4
DOIs	https://doi.org/10.1108/03321640210451440
Publication status	Published - 2002
Externally published	Yes

Keywords

Correlation analysis
Data capture
Validation

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

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10.1108/03321640210451440

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title = "Analysis of techniques to compare complex data sets",

abstract = "This paper analyses a number of techniques that can be used to compare complex data sets, such as those arising from electromagnetic simulation and experimentation. The techniques assessed are: correlation, several reliability factors and feature selective validation. The study examines the performance of each technique for data comparison. The paper provides a comprehensive summary of the techniques and compares their performance and comments on their use in the validation of numerical modelling codes and model designs.",

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AB - This paper analyses a number of techniques that can be used to compare complex data sets, such as those arising from electromagnetic simulation and experimentation. The techniques assessed are: correlation, several reliability factors and feature selective validation. The study examines the performance of each technique for data comparison. The paper provides a comprehensive summary of the techniques and compares their performance and comments on their use in the validation of numerical modelling codes and model designs.

KW - Correlation analysis

KW - Data capture

KW - Validation

U2 - 10.1108/03321640210451440

DO - 10.1108/03321640210451440

M3 - Article

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SN - 0332-1649

VL - 21

SP - 540

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JO - COMPEL

JF - COMPEL

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Analysis of techniques to compare complex data sets

Abstract

Keywords

ASJC Scopus subject areas

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