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Collaborative systems are becoming a widely used tool particularly among professional communities and research groups. They provide a suitable context for distributed people working on the same subject to concentrate their work in a shared place to which everyone has…

Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data…

Thèse numérisée par la Division de la gestion de documents et des archives de l'Université de Montréal

The present article intends to make a contribution to the study of subjectivization in our days, considering that the vast expansion of know-how knowledge, in social life organization, is modifying the way in which people use their judgment and common…

In this paper we present different error measurements with the aim to evaluate the quality of the approximations generated by the GNG3D method for mesh simplification. The first phase of this method consists on the execution of the GNG3D algorithm,…

The analysis of high sports performance by means of technological advances has often been used to calculate the routes of sportsmen in the distances covered, or to calculate speed in orienteering. However, there is still little information on data for…

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The Sincrored case referred to in this document forms part of a multiple-case study performed within the research Project "Managing change through learning formative and organizational competences in organizations". Through an action-research design, the possibilities of collective change and learning…

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