InforLorV4, Hal, Corpus, bibRecord, 000757

A new approach for automatizing the analysis of research topics dynamics: application to optoelectronics research

Identifieur interne : 000757 ( Hal/Corpus ); précédent : 000756; suivant : 000758

A new approach for automatizing the analysis of research topics dynamics: application to optoelectronics research

Auteurs : Jean-Charles Lamirel

Source :

Scientometrics [ 0138-9130 ] ; 2012.

RBID : Hal:hal-00781576

English descriptors

mix :
- Bayesian reasoning, Clustering, Diachronic analysis, Multiple viewpoint analysis, Neural networks, Unsupervised learning.

Abstract

The objective of this paper is to propose a new unsupervised incremental approach in order to follow the evolution of research themes for a given scientific discipline in terms of emergence or decline. Such behaviors are detectable by various methods of filtering. However, our choice is made on the exploitation of neural clustering methods in a multi-view context. This new approach makes it possible to take into account the incremental and chronological aspects of information by opening the way to the detection of convergences and divergences of research themes at a large scale.

Url:

https://hal.inria.fr/hal-00781576

DOI: 10.1007/s11192-012-0771-0

Links to Exploration step

Hal:hal-00781576

Le document en format XML

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A new approach for automatizing the analysis of research topics dynamics: application to optoelectronics research

A new approach for automatizing the analysis of research topics dynamics: application to optoelectronics research

Source :

English descriptors

Abstract

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri