• DocumentCode
    2317732
  • Title

    A comparison of approaches for dealing with missing values

  • Author

    Liu, Chih-Feng ; Chen, Thao-Tsen ; Lee, Shie-Jue

  • Author_Institution
    Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
  • Volume
    4
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    1576
  • Lastpage
    1582
  • Abstract
    In this paper, we give a comparison of several approaches for solving the missing value problem, including deletion and single imputation techniques. Each method is briefly described, together with the advantage and disadvantage of the solution it provides. Simulation results are presented to compare the induced errors between predicted (imputed) valued and true values obtained by using different methods to fill in slots with missing values.
  • Keywords
    data mining; data mining; deletion imputation techniques; induced errors; missing value problem; predicted values; single imputation techniques; true values; Abstracts; Deletion; Missing values; Single imputation; Squared errors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4673-1484-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2012.6359600
  • Filename
    6359600
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2317732