InforLorV4, Main, Exploration, bibRecord, 001E68

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

Identifieur interne : 001E68 ( Main/Exploration ); précédent : 001E67; suivant : 001E69

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

Auteurs : Jean-Charles Lamirel [France]

Source :

Scientometrics [ 0138-9130 ] ; 2012-10-01.

RBID : ISTEX:2091B4CD8D18F3AD1AA199C040A2516BA432D4D6

Descripteurs français

Pascal (Inist)
- Amas, Incremental approach, Recherche scientifique.
Wicri :
- topic : Recherche scientifique.

English descriptors

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

Abstract

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:

DOI: 10.1007/s11192-012-0771-0

Affiliations:

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 :

Descripteurs français

English descriptors

Abstract

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Pour manipuler ce document sous Unix (Dilib)

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