Missing data imputation in multivariate data by evolutionary algorithms

被引：19
|
作者：
Figueroa Garcia, Juan C. [1 ]
Kalenatic, Dusko [2 ]
Lopez Bello, Cesar Amilcar [1 ]
机构：
[1] Univ Dist Francisco Jose de Caldas, Bogota, Colombia
[2] Univ Sabana, Chia, Colombia
来源：
COMPUTERS IN HUMAN BEHAVIOR | 2011年 / 27卷 / 05期
关键词：
Missing data; Evolutionary optimization; Multivariate analysis; Multiple data imputation;
D O I：
10.1016/j.chb.2010.06.026
中图分类号：
B84 [心理学];
学科分类号：
04 ; 0402 ;
摘要：
This paper presents a proposal based on an evolutionary algorithm to impute missing observations in multivariate data. A genetic algorithm based on the minimization of an error function derived from their covariance matrix and vector of means is presented. All methodological aspects of the genetic structure are presented. An extended explanation of the design of the fitness function is provided. An application example is solved by the proposed method. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1468 / 1474
页数：7
相关论文
共 50 条
  • [1] Missing Data Imputation in Time Series by Evolutionary Algorithms
    Figueroa Garcia, Juan C.
    Kalenatic, Dusko
    Lopez Bello, Cesar Amilcar
    [J]. ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE, 2008, 5227 : 275 - +
  • [2] A genetic algorithm for multivariate missing data imputation
    Carlos Figueroa-Garcia, Juan
    Neruda, Roman
    Hernandez-Perez, German
    [J]. INFORMATION SCIENCES, 2023, 619 : 947 - 967
  • [3] An Experimental Survey of Missing Data Imputation Algorithms
    Miao, Xiaoye
    Wu, Yangyang
    Chen, Lu
    Gao, Yunjun
    Yin, Jianwei
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (07) : 6630 - 6650
  • [4] Some Imputation Algorithms for Restoration of Missing Data
    Ryazanov, Vladimir
    [J]. PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, 2011, 7042 : 372 - 379
  • [5] Data Imputation for Multivariate Time Series Sensor Data With Large Gaps of Missing Data
    Wu, Rui
    Hamshaw, Scott D.
    Yang, Lei
    Kincaid, Dustin W.
    Etheridge, Randall
    Ghasemkhani, Amir
    [J]. IEEE SENSORS JOURNAL, 2022, 22 (11) : 10671 - 10683
  • [6] Salvaging Data Records with Missing Data: Data Imputation using the Multivariate t Distribution
    Hooke, Melissa
    Mrozinski, Joseph
    DiNicola, Michael
    [J]. 2021 IEEE AEROSPACE CONFERENCE (AEROCONF 2021), 2021,
  • [7] Missing Data Imputation for a Multivariate Outcome of Mixed Variable Types
    Wang, Tuo
    Zilinskas, Rachel
    Li, Ying
    Qu, Yongming
    [J]. STATISTICS IN BIOPHARMACEUTICAL RESEARCH, 2023, 15 (04): : 826 - 837
  • [8] On multivariate imputation and forecasting of decadal wind speed missing data
    Wesonga, Ronald
    [J]. SPRINGERPLUS, 2015, 4
  • [9] Missing Data and Multiple Imputation in the Context of Multivariate Analysis of Variance
    Finch, W. Holmes
    [J]. JOURNAL OF EXPERIMENTAL EDUCATION, 2016, 84 (02): : 356 - 372
  • [10] MISSING DATA IMPUTATION USING THE MULTIVARIATE T-DISTRIBUTION
    LIU, C
    [J]. JOURNAL OF MULTIVARIATE ANALYSIS, 1995, 53 (01) : 139 - 158
12345