• DocumentCode
    3424294
  • Title

    Mining Complex Hydrobiological Data with Galois Lattices

  • Author

    Bertaux, A. ; Braud, A. ; Le Ber, F.

  • Author_Institution
    CEVH UMR MA 101 - ENGEES, Strasbourg
  • fYear
    2007
  • fDate
    3-7 Sept. 2007
  • Firstpage
    519
  • Lastpage
    523
  • Abstract
    We have used Galois lattices for mining hydrobiological data. These data are about macrophytes, that are macroscopic plants living in water bodies. These plants are characterized by several biological traits, that own several modalities. Our aim is to cluster the plants according to their common traits and modalities and to find out the relations between traits. Galois lattices are efficient methods for such an aim, but apply on binary data. In this article, we detail a few approaches we used to transform complex hydrobiological data into binary data and compare the first results obtained thanks to Galois lattices.
  • Keywords
    Galois fields; biology computing; data mining; environmental science computing; Galois lattices binary data; complex hydrobiological data mining; macrophytes; macroscopic plants; water bodies; Association rules; Data mining; Databases; Ecosystems; Europe; Expert systems; Lattices; Monitoring; Plants (biology); Rivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2007. DEXA '07. 18th International Workshop on
  • Conference_Location
    Regensburg
  • ISSN
    1529-4188
  • Print_ISBN
    978-0-7695-2932-5
  • Type

    conf

  • DOI
    10.1109/DEXA.2007.148
  • Filename
    4312948