Detecting domain dynamics: Association Rule Extraction and diachronic clustering techniques in support of expertise - Archive ouverte HAL Access content directly
Conference Papers Year : 2011

Detecting domain dynamics: Association Rule Extraction and diachronic clustering techniques in support of expertise

Abstract

Identifying the evolution trends of a scientific domain can be hugely interesting for scientific research policy makers. The evolution of a scientific domain can be studied by associating clustering techniques, generating a representation of the publication scientific landscape based on its extracted terminology, with a diachronic analysis of clustering results obtained at two different times. This work, developed in the context of a European project, aims to propose an alternative way by producing an assisted diachronic analysis of clustering results decreasing the load of the expertise phase.
Fichier principal
Vignette du fichier
GTM11_ROCETAL_Full.pdf (583.17 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-00959386 , version 1 (17-01-2023)

Licence

Attribution - CC BY 4.0

Identifiers

  • HAL Id : hal-00959386 , version 1

Cite

Ivana Roche, Maha Ghribi, Nathalie Vedovotto, Claire François, Dominique Besagni, et al.. Detecting domain dynamics: Association Rule Extraction and diachronic clustering techniques in support of expertise. 1st Global TechMining Conference "Text-mining, Analysis, and Visualization", Sep 2011, Atlanta, United States. 13 p. ⟨hal-00959386⟩

Collections

CNRS INIST
107 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More