Abstract
The evolution of computational systems and data capacity storage brought a spread of information to many society niches. This information, normally heterogeneous and dispersed in the organizations, can bring in itself a set of indirect knowledge with a great potential of use. The knowledge extracted from this information can be valuable for profile evaluations, detection of problems and opportunities, in the decision making, etc.
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Azevedo, D.N.R., de Oliveira, J.M.P. (2009). Application of Data Mining Techniques to Storage Management and Online Distribution of Satellite Images. In: Nedjah, N., de Macedo Mourelle, L., Kacprzyk, J. (eds) Innovative Applications in Data Mining. Studies in Computational Intelligence, vol 169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88045-5_1
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DOI: https://doi.org/10.1007/978-3-540-88045-5_1
Publisher Name: Springer, Berlin, Heidelberg
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