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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Yao, Q., An, A., & Huang, X. (2006). Mining and modeling database user access patterns. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4203 LNAI, pp. 493–503). Springer Verlag. https://doi.org/10.1007/11875604_56
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