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2015
Incomplete data are common in empirical research. The default solutions in software packages are very simplistic; the default is generally listwise deletion where a case with any variable missing is completely removed from the analysis. In multilevel data, missing values at the group level can be a serious problem.
Hox, J., van Buuren, S., Jolani, Shahab
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Incomplete data are common in empirical research. The default solutions in software packages are very simplistic; the default is generally listwise deletion where a case with any variable missing is completely removed from the analysis. In multilevel data, missing values at the group level can be a serious problem.
Hox, J., van Buuren, S., Jolani, Shahab
openaire +2 more sources
A Study of Incomplete Data – A Review
2014Incomplete data are questions without answers or variables without observations. Even a small percentage of missing data can cause serious problems with the analysis leading to draw wrong conclusions and imperfect knowledge. There are many techniques to overcome the imperfect knowledge and manage data with incomplete items, but no one is absolutely ...
Sasanko Sekhar Gantayat +2 more
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Incomplete Data Decomposition for Classification
2002In this paper we present a method of data decomposition to avoid the necessity of reasoning on data with missing attribute values. The original incomplete data is decomposed into data subsets without missing values. Next, methods for classifier induction are applied to such sets.
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Data Mining with Incomplete Data
2005Survey is one of the common data acquisition methods for data mining (Brin, Rastogi & Shim, 2003). In data mining one can rarely find a survey data set that contains complete entries of each observation for all of the variables. Commonly, surveys and questionnaires are often only partially completed by respondents.
Hai Wang, Shouhong Wang
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Generating Incomplete Data with DataZapper
2010A nearly universal problem with real data is that they are incomplete, with some values missing. Furthermore, the ways in which values can go missing are quite varied, with arbitrary interdependencies between variables and their values leading to missing values.
Yingying Wen +2 more
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Incompleteness of Lamotrigine Data
Drug Safety, 2001N V, Acharya, L V, Wilton, S A, Shakir
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Incomplete lineage sorting and phenotypic evolution in marsupials
Cell, 2022Guojie Zhang, Duo Xie, Ming Bai
exaly
Incomplete autophagy: Trouble is a friend
Medicinal Research Reviews, 2022Feng Qiu, Qiang Zhang, Ning Kang
exaly