Imputing missing value through ensemble concept based on statistical measures-Reference-Cited by-同舟云学术

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Imputing missing value through ensemble concept based on statistical measures

Published:2017-10-24 Issue:1 Volume:56 Page:123-139
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Jenghara Moslem Mohammadi,Ebrahimpour-Komleh Hossein,Rezaie Vahideh,Nejatian Samad,Parvin Hamid,Yusof Sharifah Kamilah Syed

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

http://link.springer.com/article/10.1007/s10115-017-1118-1/fulltext.html

Reference30 articles.

1. Zhang S (2011) Shell-neighbor method and its application in missing data imputation. Appl Intell 35:123–133

2. Conrady S, Jouffe L (2011) Missing values imputation. Bayesia, Changé

3. Eirola E, Doquire G, Verleysen M, Lendasse A (2013) Distance estimation in numerical data sets with missing values. Inf Sci 240:115–128

4. Zhu B, He C, Liatsis P (2012) A robust missing value imputation method for noisy data. Appl Intell 36:61–74

5. Ghannad-Rezaie M, Soltanian-Zadeh H, Ying H, Dong M (2010) Selection fusion approach for classification of datasets with missing values. Pattern Recognit 43:2340–2350

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