Results 11 to 20 of about 1,218,748 (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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Optimal Clustering with Missing Values [PDF]
Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, 2018 Missing values frequently arise in modern biomedical studies due to various reasons, including missing tests or complex profiling technologies for different omics measurements. Missing values can complicate the application of clustering algorithms, whose goals are to group points based on some similarity criterion.
Shahin Boluki +3 more
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Lithuanian Journal of Statistics, 2022 Our study presents the methods adopted to produce accurate imputed values for Africa's food security and nutrition (FSN). We focused primarily on the following five imputation methods for handling missing data: Mean Imputation; Multiple Imputed values ...
Adusei Bofa, Temesgen Zewotir
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CoRR, 2019 Preprint submitted to Decision Support Systems ...
Fernando Martínez-Plumed +3 more
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Imputation Missing Value to Overcome Sparsity Problems in The Recommendation System
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 A recommendation system is a system that provides suggestions or recommendations to a product or service for its users. One of the problems encountered in the recommendation system is sparsity, namely the lack of available data for analysis, resulting in
Sri Lestari +2 more
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Análise da não resposta em surveys políticos
Opinião Pública, 2012 Este artigo analisa a estrutura social dos entrevistados que apontam o item não resposta em um survey sobre assuntos políticos. Para isso foi realizado um survey com 2.110 jovens eleitores da rede pública de ensino em Belém (PA).
Karl Henkel
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On replacement of outliers and missing values in time series
EQA, 2023 Presence of missing values and occurrence of outliers in time series cause many hindrances in the analysis of data. Several methods are proposed for determining estimates to replace the missing values and outliers.
Loganathan Appaia, Sumithra Palraj
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Missing value replacement in strings and applications. [PDF]
Data Min Knowl DiscovAbstract Missing values arise routinely in real-world sequential (string) datasets due to: (1) imprecise data measurements; (2) flexible sequence modeling, such as binding profiles of molecular sequences; or (3) the existence of confidential information in a dataset which has been deleted deliberately for privacy protection.
Bernardini G +6 more
europepmc +8 more sources
JAI (Jurnal Anestesiologi Indonesia), 2015 Latar Belakang : Penerapan Sistem Jaminan Kesehatan Nasional (SJKN) dalam pelayanan ICU mendorong pelayanan ICU untuk lebih efektif dan efisien. Prediksi hasil perawatan penting baik secara administrasi ataupun klinis dalam manajemen ICU.
Stefanus Taofik +2 more
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