scholarly journals Feature Based Multivariate Data Imputation

2019 ◽  
pp. 26-37
Author(s):  
Alessio Petrozziello ◽  
Ivan Jordanov
Keyword(s):  
Multivariate Data ◽  
Data Imputation ◽  
Feature Based

scholarly journals Multivariate Data Quality Enhancement by Ranked Imputation

2020 ◽  
Vol 9 (3) ◽  
pp. 2387-2391
Keyword(s):  
State Of The Art ◽  
Multivariate Data ◽  
Quality Enhancement ◽  
Data Imputation ◽  
Time Data ◽  
Proposed Model ◽  
Real Time Data ◽  
Attribute Order ◽  
Negative Impacts

Organizational decisions are based on data-based-analysis and predictions. Effective decisions require accurate predictions, which in-turn depend on the quality of the data. Real time data is prone to inconsistencies, which exhibit negative impacts on the quality of the predictions. This mandates the need for data imputation techniques. This work presents a prediction-based data imputation technique, Rank Based Multivariate Imputation (RBMI) that operates on multivariate data. The proposed model is composed of the ranking phase and the imputation phase. Ranking dictates, the attribute order in which imputation is to be performed. The proposed model utilizes tree-based approach for the actual imputation process. Experiments were performed on Pima, a diabetes dataset. The data was amputed in range between 5% - 30%. The obtained results were compared with existing state-of-the-art models in terms of MAE and MSE levels. The proposed RBMI model exhibits a reduction of 0.03 in MAE levels and 0.001 in MSE levels.

Multivariate data imputation using Gaussian mixture models

2018 ◽  
Vol 27 ◽  
pp. 74-90 ◽  
Author(s):  
Diogo S.F. Silva ◽  
Clayton V. Deutsch
Keyword(s):  
Mixture Models ◽  
Multivariate Data ◽  
Gaussian Mixture Models ◽  
Gaussian Mixture ◽  
Data Imputation

Missing data imputation in multivariate data by evolutionary algorithms

2011 ◽  
Vol 27 (5) ◽  
pp. 1468-1474 ◽  
Author(s):  
Juan C. Figueroa García ◽  
Dusko Kalenatic ◽  
Cesar Amilcar Lopez Bello
Keyword(s):  
Missing Data ◽  
Evolutionary Algorithms ◽  
Multivariate Data ◽  
Data Imputation ◽  
Missing Data Imputation

Prediction of free air anomaly obtained by geophysical multivariate data in Amazonia: An approach to missing data imputation with Self-Organizing Maps

2017 ◽  
Author(s):  
Bruno Monserrat Perillo ◽  
Cleyton de Carvalho Carneiro ◽  
Ana Cristina de Matos ◽  
Denizar Blitzkow ◽  
Stephen Fraser
Keyword(s):  
Missing Data ◽  
Multivariate Data ◽  
Data Imputation ◽  
Self Organizing Maps ◽  
Missing Data Imputation ◽  
Free Air ◽  
Free Air Anomaly ◽  
Self Organizing

Man-Computer Derivations of Tree Structure from Multivariate Data

1968 ◽  
Author(s):  
Gerald H. Shure ◽  
Laurence I. Press ◽  
Miles S. Rogers
Keyword(s):  
Multivariate Data ◽  
Tree Structure

An Inability to Set Independent, Feature-Based Attention Sets By Hemisphere

2011 ◽  
Author(s):  
Mark W. Becker ◽  
Susan M. Ravizza
Keyword(s):  
Feature Based

Metabolic Profiling of Maca (Lepidium meyenii) Cultivars using NMR and Multivariate Data Analysis

Planta Medica ◽  
2010 ◽  
Vol 76 (05) ◽  
Author(s):  
J Zhao ◽  
B Avula ◽  
C Clément ◽  
M Kreuzera ◽  
IA Khan
Keyword(s):  
Data Analysis ◽  
Metabolic Profiling ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Lepidium Meyenii
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