Results 11 to 20 of about 1,170,104 (261)
Capturing missing tuples and missing values [PDF]
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, 2010 Databases in real life are often neither entirely closed-world nor entirely open-world. Indeed, databases in an enterprise are typically partially closed, in which a part of the data is constrained by master data that contains complete information about the enterprise in certain aspects [21].
Wenfei Fan, Floris Geerts
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Capturing Missing Tuples and Missing Values [PDF]
ACM Transactions on Database Systems, 2016 Databases in real life are often neither entirely closed-world nor entirely open-world. Databases in an enterprise are typically partially closed , in which a part of the data is constrained by master data that contains complete information about the enterprise in certain aspects. It has been
Ting Deng, Wenfei Fan, Floris Geerts
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CoRR, 2019 Preprint submitted to Decision Support Systems ...
Fernando Martínez-Plumed +3 more
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Missing-Values Adjustment for Mixed-Type Data
Journal of Probability and Statistics, 2011 We propose a new method of single imputation, reconstruction, and estimation of nonreported, incorrect, implausible, or excluded values in more than one field of the record.
Agostino Tarsitano, Marianna Falcone
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missMDA: A Package for Handling Missing Values in Multivariate Data Analysis
Journal of Statistical Software, 2016 We present the R package missMDA which performs principal component methods on incomplete data sets, aiming to obtain scores, loadings and graphical representations despite missing values.
Julie Josse, François Husson
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Sensitivity Analysis of Longitudinal Data with Intermittent Missing Values: Application in a Clinical Trial [PDF]
The Egyptian Statistical Journal, 2017 We conduct two types of sensitivity analyses of study conclusion , in intermittent setting : the first is fitting different to the response variable. The marginal distribution of the response is assumed to be an extreme valuea logistic distribution, the ...
Abeer S. Ahmed
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Optimal Recovery of Missing Values for Non-Negative Matrix Factorization
IEEE Open Journal of Signal Processing, 2021 Missing values imputation is often evaluated on some similarity measure between actual and imputed data. However, it may be more meaningful to evaluate downstream algorithm performance after imputation than the imputation itself.
Rebecca Chen Dean, Lav R. Varshney
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Frontotemporal dementia and neuropsychology: the value of missing values [PDF]
Journal of Neurology, Neurosurgery & Psychiatry, 2000 To investigate the effect of missing values due to behavioural disturbances on the neuropsychological test profile in frontotemporal dementia (FTD). The neuropsychological examination of patients with FTD poses a methodological problem. In many patients it is impossible to administer a complete test battery, due to behavioural disturbances inherent to ...
Smeding, H.M.M., Koning, I.
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Preserving Logical Relations while Estimating Missing Values [PDF]
Revista Română de Statistică, 2017 Item-nonresponse is often treated by means of an imputation technique. In some cases, the data have to satisfy certain constraints, which are frequently referred to as edits.
Ton de Waal, Wieger Coutinho
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A Data-Driven Decision Support System for Scoliosis Prognosis
IEEE Access, 2017 A decision support system with data-driven methods is of great significance for the prognosis of scoliosis. However, developing an accurate and interpretable data-driven decision support system is challenging: 1) the scoliosis data collected from ...
Liming Deng +3 more
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