• DocumentCode
    2230494
  • Title

    Text Mining and Expert Systems Applied in Labor Laws

  • Author

    Ticom, A.A.M. ; de Souza, B. ; de Lima, L.P.

  • Author_Institution
    UFRJ Cidade Universit., Rio de Janeiro
  • fYear
    2007
  • fDate
    20-24 Oct. 2007
  • Firstpage
    788
  • Lastpage
    792
  • Abstract
    Based on the technological evolution of data processing, mainly the capacity of processing and storage, a new research field has emerged, called Knowledge Discovery in Database (KDD). Data mining (DM) is the essential and important step in the process of KDD with the goal of extracting high-level knowledge from low-level data. Unstructured DM or Text Mining is an essential part of discovering previously unknown patterns useful for particular purposes from textual data bases. The objective of this paper is to present a Labor- related Judicial application of Unstructured Data Mining techniques using probabilistic methodologies, linear regression and Rule Induction in Text Categorization, as well as an Expert System.
  • Keywords
    data mining; law administration; regression analysis; text analysis; data processing; expert systems; high-level knowledge extraction; knowledge discovery in database; labor laws; labor-related Judicial application; linear regression; low-level data; probabilistic methodologies; rule induction; technological evolution; text categorization; text mining; textual databases; unstructured data mining; Data mining; Data processing; Deductive databases; Delta modulation; Employment law; Expert systems; Intelligent systems; Linear regression; Text categorization; Text mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    978-0-7695-2976-9
  • Type

    conf

  • DOI
    10.1109/ISDA.2007.32
  • Filename
    4389704