<b>A methodology for the development of knowledge discovery systems</b> - DOI: 10.4025/actascitechnol.v27i1.1500
DOI:
https://doi.org/10.4025/actascitechnol.v27i1.1500Keywords:
mineração de dados, sistemas de descoberta de conhecimento em banco de dados, métodos formais, modelagem orientada a objetosAbstract
After the organization solves its operational problems, systems are necessary to support the decision making process. The data mining research area is growing quickly to assist such new needs of the organization. However, the implementation of data mining techniques may become a difficult and unreliable task unless a complete and systematic methodology is adopted in the development of knowledge discovery systems. This paper aims to introduce a methodology named MeDesC. This methodology integrates UML (Unified Modeling Language) and E-LOTOS (Enhancements to Language of Temporal Ordering Specification). The main objective is to generate relevant and reliable information for decision making, by means of the application of data mining techniques. The MeDesC methodology was used to develop a knowledge discovery system based on data from the Brazilian Post-graduation. The prototype of a knowledge discovery environment provided support to the implementation of this systemDownloads
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Published
2008-03-27
How to Cite
Dias, M. M., & Pacheco, R. C. dos S. (2008). <b>A methodology for the development of knowledge discovery systems</b> - DOI: 10.4025/actascitechnol.v27i1.1500. Acta Scientiarum. Technology, 27(1), 61–72. https://doi.org/10.4025/actascitechnol.v27i1.1500
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Section
Informatics
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