Database Reverse Engineering based on Association Rule Mining

Computer Science – Databases

Scientific paper

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International Journal of Computer Science Issues online at http://ijcsi.org/articles/Database-Reverse-Engineering-based-on-Ass

Scientific paper

Maintaining a legacy database is a difficult task especially when system documentation is poor written or even missing. Database reverse engineering is an attempt to recover high-level conceptual design from the existing database instances. In this paper, we propose a technique to discover conceptual schema using the association mining technique. The discovered schema corresponds to the normalization at the third normal form, which is a common practice in many business organizations. Our algorithm also includes the rule filtering heuristic to solve the problem of exponential growth of discovered rules inherited with the association mining technique.

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