A new approach for data editing and imputation

DOI10.1007/s00186-008-0237-6zbMath1155.90024OpenAlexW2069867019MaRDI QIDQ999135

Sergio Delgado-Quintero, Juan-José Salazar-González

Publication date: 30 January 2009

Published in: Mathematical Methods of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00186-008-0237-6

zbMATH Keywords

HeuristicsImputationEditingError localization problemMathematical Programming

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59) Boolean programming (90C09)

Cites Work

• A heuristic approach for the continuous error localization problem in data cleaning
• A branch-and-cut algorithm for the continuous error localization problem in data cleaning
• The comparative efficacy of imputation methods for missing data in structural equation model\-ing.
• Discrete models for data imputation
• Constraint and integer programming. Toward a unified methodology.
• Automatic Editing for Business Surveys: An Assessment of Selected Algorithms
• Optimal Imputation of Erroneous Data: Categorical Data, General Edits
• Error correction for massive datasets
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