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arXiv · 1004.3272

Database Reverse Engineering based on Association Rule Mining

Nattapon Pannurat·Nittaya Kerdprasop·Kittisak Kerdprasop
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Abstract

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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Nattapon Pannurat, Nittaya Kerdprasop, Kittisak Kerdprasop. 2010-04-19. Database Reverse Engineering based on Association Rule Mining. https://arxiv.org/abs/1004.3272

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