• DocumentCode
    3190819
  • Title

    Data mining in law with adaptive learning techniques

  • Author

    Schweighofer, Erich ; Merkl, Dieter

  • Author_Institution
    Inst. of Public Int. Law, Wien Univ., Austria
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    799
  • Lastpage
    803
  • Abstract
    The freely available law on the Internet could be one of the best applications of data mining. The growing complexity of legal rules and the necessary adaptation to user needs requires better instruments than manual browsing and searching interfaces. Our intelligent agent offers information reconnaissance by classifying and describing unknown text corpora of search results. Based on standard agent technology, our research on self-organising maps focuses on adaptive learning techniques for information reconnaissance. The units of the self-organising map are labeled with the most appropriate keywords. The user can choose between the various units in order to refine the next step of research. First results have shown the potential of this approach
  • Keywords
    Internet; adaptive systems; data mining; information retrieval; law administration; self-organising feature maps; software agents; text analysis; Internet; adaptive learning techniques; data mining; information reconnaissance; intelligent agent; keywords; law; legal rules; search results; searching interfaces; self-organising maps; standard agent technology; unknown text corpora; user needs; Application software; Data mining; Information retrieval; Instruments; Intelligent agent; Internet; Law; Legal factors; National electric code; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 1999. Proceedings. Tenth International Workshop on
  • Conference_Location
    Florence
  • Print_ISBN
    0-7695-0281-4
  • Type

    conf

  • DOI
    10.1109/DEXA.1999.795286
  • Filename
    795286