Missing data

Known as: MCAR, Missingness, Missing at random 
In statistics, missing data, or missing values, occur when no data value is stored for the variable in an observation. Missing data are a common… (More)
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Topic mentions per year

Topic mentions per year

1947-2018
010020019472017

Papers overview

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Highly Cited
2009
Highly Cited
2009
In this paper, we propose an algorithm to estimate missing values in tensors of visual data. The values can be missing due to… (More)
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Highly Cited
2007
Highly Cited
2007
The value of knowledge inferred from information databases is critically dependent on the quality of data. We present multiple… (More)
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Highly Cited
2007
Highly Cited
2007
Memory-based collaborative filtering algorithms have been widely adopted in many popular recommender systems, although these… (More)
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Highly Cited
2003
Highly Cited
2003
One relevant problem in data quality is the presence of missing data. Despite the frequent occurrence and the relevance of… (More)
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Highly Cited
2002
Highly Cited
2002
We introduce an incremental singular value decomposition (SVD) of incomplete data. The SVD is developed as data arrives, and can… (More)
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Highly Cited
2002
Highly Cited
2002
The ability to replace missing data in images and video is of key importance to many application fields. The general-purpose… (More)
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Highly Cited
2001
Highly Cited
2001
MOTIVATION Gene expression microarray experiments can generate data sets with multiple missing expression values. Unfortunately… (More)
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Highly Cited
2001
Highly Cited
2001
  • Lepkowski, Solenberger
  • 2001
This article describes and evaluates a procedure for imputing missing values for a relatively complex data structure when the… (More)
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Highly Cited
2001
Highly Cited
2001
ÐMissing data are often encountered in data sets used to construct effort prediction models. Thus far, the common practice has… (More)
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Highly Cited
1999
Highly Cited
1999
Two algorithms for producing multiple imputations for missing data are evaluated with simulated data. Software using a propensity… (More)
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