Missing data imputation

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TítuloA Hybrid Algorithm for Missing Data Imputation and Its Application to Electrical Data Loggers

TítuloA Hybrid Algorithm for Missing Data Imputation and Its Application to Electrical Data Loggers

... of data is a key process in the study of electrical power networks related to the search for harmonics and the finding of a lack of balance among ...of missing data of any of the main electrical ...

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TítuloA New Missing Data Imputation Algorithm Applied to Electrical Data Loggers

TítuloA New Missing Data Imputation Algorithm Applied to Electrical Data Loggers

... have imputation problems in those cases in which most of the missing data belonged to the same column or to a reduced subset of ...the missing data imputation in the ...

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Categorical Missing Data Imputation Using Fuzzy Neural Networks with Numerical and Categorical Inputs

Categorical Missing Data Imputation Using Fuzzy Neural Networks with Numerical and Categorical Inputs

... Abstract— There are many situations where input feature vectors are incomplete and methods to tackle the problem have been studied for a long time. A commonly used procedure is to replace each missing value with ...

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TítuloAutomatic classification of respiratory patterns involving missing data imputation techniques

TítuloAutomatic classification of respiratory patterns involving missing data imputation techniques

... the data imputation ...variables, missing- ness patterns), and thus there is no clear indication that fa- vours one method over the others (Ribelles, Martin, & Franco, ...the missing ...

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Fuzzy min-max neural networks for categorical data: application to missing data imputation

Fuzzy min-max neural networks for categorical data: application to missing data imputation

... A possible use of the min-max neural networks classifier is to perform imputation for categorical missing values as will be shown in Sect. How the classifier deals with the missing va[r] ...

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TítuloComparative study of imputation algorithms applied to the prediction of student performance

TítuloComparative study of imputation algorithms applied to the prediction of student performance

... of data from some of the student scores undermines the efficiency of any future analysis carried out in order to reach ...case, missing data imputation algorithms are ...the missing ...

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CEE2008 - PRINATEC (jueves).ppt

CEE2008 - PRINATEC (jueves).ppt

... DFT Teórica y Conceptual Inhibidores de la Corrosión Fármacos, Alimentos y Agroquímicos Nanoelectrónica Molecular y Nanobiosensores Catálisis Nanomolecular Nanomateriales para Almacena[r] ...

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Application of imputation techniques in collaborative filtering based recommender systems

Application of imputation techniques in collaborative filtering based recommender systems

... on imputation algorithms and recommendation algorithms from a theoretical point of view: advantages and disadvantages of each method, creation of new algorithms, or optimization of the existent ones, whereas the ...

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Del Big Data al Creative Data

Del Big Data al Creative Data

... Creative Data en una o varias de estas etapas: utilizando la información de infinitas bases de datos para la investigación, aplicando la tecnología del Big Data para la solución, o empleando algoritmos de ...

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ANÁLISIS EXPLORATORIO DE DATOS Práctica 3B

ANÁLISIS EXPLORATORIO DE DATOS Práctica 3B

... valor missing en alguna variable dependiente sólo se excluyen en los cálculos de estadísticos correspondientes a dicha variable, y sí que se incluyen en los de otras variables ...

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Autoficción, autobiografía y recepción en Missing (una investigación) (2009) de Alberto Fuguet

Autoficción, autobiografía y recepción en Missing (una investigación) (2009) de Alberto Fuguet

... Hadji Bakara analiza la peculiar situación de Carlos: este personaje es consciente de sus privilegios como ciudadano estadounidense sin estar satisfecho con lo que recibió en la vida. Bakara elabora hipótesis sobre el ...

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Search for diphoton events with large missing transverse momentum in 7 TeV proton proton collision data with the ATLAS detector

Search for diphoton events with large missing transverse momentum in 7 TeV proton proton collision data with the ATLAS detector

... The data sample, corresponding to an integrated luminosity of ( 1 . 07 ± 0 . 04 ) fb − 1 , was selected by a trigger requiring two loose photon candidates with a transverse energy (E T ) above 20 GeV. In the offline ...

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Impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews: a protocol for a methodological study

Impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews: a protocol for a methodological study

... The strengths of our proposed study include the adop- tion of systematic and transparent methods, including specific and explicit eligibility criteria, sensitive search strategies, and duplicate and independent processes ...

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PRINATEC Visita Park Electrochemistry

PRINATEC Visita Park Electrochemistry

... Nanomaterials for Storage and Conversion of Energy Molecular and Metallic Clusters Functional Molecular Nanomaterials Model Chemistry CHIH-DFT Azathiophenes Fullerenes Nan[r] ...

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PRINATEC   Visita Grupo VITRO

PRINATEC Visita Grupo VITRO

... DFT Teórica y Conceptual Inhibidores de la Corrosión Fármacos, Alimentos y Agroquímicos Nanoelectrónica Molecular y Nanobiosensores Catálisis Nanomolecular Nanomateriales para Almacena[r] ...

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PRINATEC - ITJ.ppt

PRINATEC - ITJ.ppt

... Establecer un consejo ciudadano para la creación del Cluster de Nanotecnología del Estado de Nuevo León. Colaboración, cooperación y desarrollo de recursos humanos, atracción de financi[r] ...

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Missing markets and missing pipelines: the problem of resource adequacy in a natural-gas-fired dominated system

Missing markets and missing pipelines: the problem of resource adequacy in a natural-gas-fired dominated system

... Generators have two fuel alternatives to produce with, with natural gas being the less costly alternative. The model includes two types of demand in the gas-market: demand from generators, and non-electric demand (both ...

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Imputation method based on recurrent neural networks for the internet of things

Imputation method based on recurrent neural networks for the internet of things

... to missing value imputation in the context of the ...top-2 imputation in 83% of the experiments presented in those ...two data sets used, which is to be expected from the literature of ANNs in ...

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Data quality in a big data context: about Twitter’s data quality

Data quality in a big data context: about Twitter’s data quality

... Big Data context, datasets are too large to store, analyze, handle or process, for the traditional database ...Big Data are characterized by the well-known “4 V’s”, namely Volume (size of the datasets), ...

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Corruption, 'ghosts', and education: missing education funds in Mexico

Corruption, 'ghosts', and education: missing education funds in Mexico

... My initial hypothesis about the effect of teachers and schools was that a larger stock of these resources would attenuate the negative effect of corruption; that it would be more harmful for municipalities with fewer ...

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