• DocumentCode
    640970
  • Title

    CI-LQD: A software tool for modeling and decision making with Low Quality Data

  • Author

    Palacios, Ana Maria ; Sanchez, L. ; Couso, Ines

  • Author_Institution
    Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain
  • fYear
    2013
  • fDate
    7-10 July 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The software tool CI-LQD (Computational Intelligence for Low Quality Data) is introduced in this paper. CI-LQD is an ongoing project that includes a lightweight open source software that has been designed with scientific and teaching purposes in mind. The main usefulness of the software is to automate the calculations involved in the statistical comparisons of different algorithms, with both numerical and graphical techniques, when the available information is interval-valued, fuzzy, incomplete or otherwise vague. A growing catalog of evolutionary algorithms for learning classifiers, models and association rules, along with their corresponding data conditioning and preprocessing techniques, is included. A demonstrative example of the tool is described that illustrates the capabilities of the software.
  • Keywords
    artificial intelligence; data mining; evolutionary computation; software tools; statistical analysis; CI-LQD; association rules; computational intelligence; data conditioning; data preprocessing technique; decision making; evolutionary algorithm; graphical technique; learning classifier; lightweight open source software; low quality data; software tool; statistical comparison; Algorithm design and analysis; Data mining; Databases; Probability distribution; Software algorithms; Software tools; Computational Intelligence; Evolutionary Algorithms; Low Quality Data; Software Tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
  • Conference_Location
    Hyderabad
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4799-0020-6
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2013.6622418
  • Filename
    6622418