Maximising the Value of Missing Data

Maximising the Value of Missing Data

Atai Winkler

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GJCST Volume 14 Issue C3

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References

B Manly (1994). Multivariate Statistical Methods, A Primer.
F Fuga,G Giovanella,M Neto,J Carmo,Volnei Tita,Ricardo Medeiros (2002). Damage detection and finite element modelling using a thermoformed electret as a polymeric piezoelectric sensor.
Gustavo Batista,Maria Monard (2003). An analysis of four missing data treatment methods for supervised learning.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

Atai Winkler. 2014. \u201cMaximising the Value of Missing Data\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C3): .

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GJCST Volume 14 Issue C3
Pg. 41- 48

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Data mining empty data gaps holes imputation missing data

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Submission ReceivedDecember 13, 2013
RevisedDecember 13, 2013
Peer Review Double Blind
Handling Editor
Accepted January 1, 2014
Published January 15, 2014

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v1.2

Issue date

May 27, 2014

Language

English

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Article Matrices

Total Score: 131

Country: United Kingdom

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Atai Winkler (PhD/Dr. count: 0)

View Count (all-time): 243

Total Views (Real + Logic): 8721

Total Downloads (simulated): 2474

Publish Date: 2014 05, Tue

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Total Views: 8721

Total Downloads: 2474

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