Title :
Mining Complex Hydrobiological Data with Galois Lattices
Author :
Bertaux, A. ; Braud, A. ; Le Ber, F.
Author_Institution :
CEVH UMR MA 101 - ENGEES, Strasbourg
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;
Conference_Titel :
Database and Expert Systems Applications, 2007. DEXA '07. 18th International Workshop on
Conference_Location :
Regensburg
Print_ISBN :
978-0-7695-2932-5
DOI :
10.1109/DEXA.2007.148