• DocumentCode
    2753557
  • Title

    A tool to manage low quality datasets

  • Author

    Cadenas, José M. ; Garrido, M. Carmen ; Martínez, Raquel

  • Author_Institution
    Dept. of Eng. Inf. & Commun., Univ. of Murcia, Murcia, Spain
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Nowadays in the world of Soft Computing there is a new challenge which consists of working with low quality data. To test the techniques that are designed in this area, there is the need for repositories of low quality datasets. Currently we can find various data mining techniques that are designed to handle some kind of low quality data. But, as far as we get our knowledge, it has not yet designed a software tool focused on the creation/management of low quality datasets that will help us to create repositories to facilitate the testing and comparison of the above techniques. We present in this paper a software tool which can create/manage low quality data. Even if a technique doesn´t manage low quality data, the tool permits to transform the low quality data by other data that technique can manage.
  • Keywords
    data mining; fuzzy logic; software tools; data mining techniques; low quality datasets; soft computing; software tool; Data mining; Instruments; Noise; Partitioning algorithms; Software tools; Standards; Uncertainty; Soft Computing; low quality data; software tool for Soft Computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4673-1507-4
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2012.6251223
  • Filename
    6251223