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| Acadêmico(a): Sidnei Schmitt |
| Título: Gestão do Conhecimento: Aplicação em Data Mining Utililizando a Teoria do Conjuntos Aproximados para Geração do Capital Intelectual |
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| Abstract: |
| Knowledge has become one of the key resources for the organizations, from the moment when change took place in a industrial economy to an extremely competitive global economy. Because of this, the management of knowledge emerges as a management methodology that goes beyond the simple process of innovation, determining the competitive advantage of an organization. The main objective in the management of knowledge for organizations is to obtain a competitive advantage over its competitors innovating products, services and processes. To facilitate the adjustment of organizations front to the changes brought by the globalization of economies and the consequent accumulation of data stored by these organizations, this work presents the use of an architecture of the knowledge management with the use of data mining combined with the theory of approximate sets to give organizations more agility and therefore better competitiveness. This work presents the specification and development of a tool in Web environment for the management of intellectual capital. Within this process, the system allows to check the existing intellectual capital in the organization, and know the professionals who are more prepared to face the market. |
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