• Login
    View Item 
    •   IIMA Institutional Repository Home
    • Conference Proceedings
    • 4th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence
    • View Item
    •   IIMA Institutional Repository Home
    • Conference Proceedings
    • 4th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Making the Data Complete: An approach to Deal with Missing Data Problems

    Thumbnail
    View/Open
    IC 15-142.pdf (397.4Kb)
    Date
    2015
    Author
    Sharma, Divya
    Sinha, Abir
    Metadata
    Show full item record
    Abstract
    How the missing values should be treated seems to be a universal dilemma in the world of statistics. The subject has seen a lot of research in the past mainly on the methods of handling missing values. While in theory there are many methods of dealing with missing values, the actual method to be applied depends on the type of variables in particular and type of data in general. This paper is an attempt to bring together all the methods available for treating missing values in machine learning and statistical data analysis, assessing the situations where these should be applied (or not applied) with some examples and case studies. This is also an effort to explore some of the relatively newer techniques of dealing with the missing values (like multiple imputation developed by SAS and R), the advantages they have to offer over other techniques as also the situations where they should not be used. This will be done through comparing and presenting a different approach to treat missing values on a sample dataset and show how drastically the conclusions of predictive models can differ based on the method of treating missing values applied.
    URI
    http://hdl.handle.net/11718/14077
    Collections
    • 4th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence [70]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of IIMA Institutional RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV