Mounir Bechchi

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The database summarization system coined S<scp>aint</scp>E<scp>ti</scp>Q provides multi-resolution summaries of structured data stored into acentralized database. Summaries are computed online with a conceptual hierarchical clustering algorithm. However, most companies work in distributed legacy environments and consequently the(More)
In usual retrieval processes within large databases, the user formulates a first basic (broad) query to target and filter data and next, she starts browsing the answer looking for precise information. We then propose to perform an offline hierarchical grid-based clustering of the data set in order to quickly provide the user with concise, useful and(More)
The database summarization system coined SEQ provides multi-level summaries of tabular data stored into a centralized database. Summaries are computed online with a conceptual hierarchical clustering algorithm. However, in many companies, data are distributed among several sites, either homogeneously (i.e. , sites contain data for a common set of(More)
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