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Mining information from very large databases poses numerous challenges. In fact, systems that can mine such voluminous databases are increasingly desirable. In this context, we propose a generic approach of database summarization that takes into account the user's interest topic. Innovation in our work consists in the generation of a set of database summaries having different levels of granularity in order to satisfy the user's expectations.