Maximising the Value of Missing Data

Maximising the Value of Missing Data

Atai Winkler

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References

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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.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite 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

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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

Submission ReceivedDecember 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

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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): 275

Total Views (Real + Logic): 8765

Total Downloads (simulated): 2301

Publish Date: 2014 05, Tue

Monthly Totals (Real + Logic):

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Total Views: 8765

Total Downloads: 2301

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