Abstract
We present our approach to mining and modeling the behavior of database users. In particular, we propose graphic models to capture the database user’s dynamic behavior and focus on applying data mining techniques to the problem of mining and modeling database user behaviors from database trace logs. The experimental results show that our approach can discover and model user behaviors successfully.
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Yao, Q., An, A., Huang, X. (2006). Mining and Modeling Database User Access Patterns. In: Esposito, F., Raś, Z.W., Malerba, D., Semeraro, G. (eds) Foundations of Intelligent Systems. ISMIS 2006. Lecture Notes in Computer Science(), vol 4203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11875604_56
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DOI: https://doi.org/10.1007/11875604_56
Publisher Name: Springer, Berlin, Heidelberg
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