Abstract: This paper analyzes maturity levels in sectorial technological processes using Data Mining (DM). As a methodological tool for data collection it was used COBIT 4.1 model with its 34 processes in 4 different domains. This model was used in the analysis of a sample of Brazilian companies located in southern Brazil. Clustering techniques, feature selection strategies and association rules were used. In particular, a good performance was obtained using the EM clustering algorithm and the Apriori association rule generator, both implemented in Weka software. The data mining approach provides an improvement in the risk analysis, security and governance in the companies.

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