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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… 
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Papers overview

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Review
2014
Review
2014
Classification in data mining is a technique based on machine learning algorithms which uses mathematics, statistics, probability… 
2013
2013
Location fingerprinting is a positioning method that exploits the already existing infrastructures such as cellular networks or… 
2012
2012
A Thesis in the DEPARTMENT OF GEOGRAPHY AND PLANNING, Faculty of Environmental Sciences, Submitted to the School of Post… 
2007
2007
Abstract : Geometric harmonics provides a framework for taking data in high-dimensional measurement spaces and embedding them in… 
Review
2006
Review
2006
“Recruitment in Roman Armies from Justinian to Heraclius (ca. 565–615),” in Av. Cameron, ed., The Byzantine and Early Islamic… 
2005
2005
The aim of this paper is to develop a simple air pollutant model for the analysis and the characterization of environmental data… 
2004
2004
L'objectif de cette these fut d'etudier la mesure dans laquelle quatre classes d'emotions (d'accomplissement, d'approche, de… 
2002
2002
Dedicated infrastructures for end-to-end measurements are complex to deploy and manage. Equipment cost, the requirements for… 
Review
2001
Review
2001
Regional land cover information is needed for a wide variety of applications, ranging from land use planning to water quality… 
1993
1993
Nonparametric kernel classification rules derived from incomplete (missing) data are studied. A number of techniques of handling…