Work

Fouilles archéologiques : à la recherche d'éléments représentatifs

Year: 2008

Type: conference-paper

Abstract: In Geographical Information Systems devoted to archeology, the selection of the most representative element of the Geographical Database is important to increase the value of city excavations. We developed, in the CReSTIC-SIC, a statistical method to select the most representative element of a dataset. This method is based on ranking statistics, but also on a dissimilarity measure between data to determine ranks. We apply it on the extraction of the most representative elements of excavation data. In the GIS about the Roman streets in Reims, the features of the information are modeled by convex and normalized fuzzy sets; hence we use a classical metric between convex and normalized fuzzy sets to measure the dissimilarity. This allows us to extract the most representative Roman street in Reims.

Source: HAL

Authors: de Runz, Cyril, Blanchard, Frédéric, Desjardin, Éric, Herbin, Michel

Institution: Centre de Recherche en Sciences et Technologies de l'Information et de la Communication

Language: French

Topic: Advanced Clustering Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4206881069

FWCI:

Cites:

Cited by: 1

Related to: 10