ABOUT DATABASE SUMMARIZATION

摘要: The summarization system takes a Database (DB) table as input and produces reduced version of this through both rewriting generalization process. resulting provides records with less precision than the original but it is very informative actual DB content. This form can be used for advanced Data Mining processes. Several approaches have been proposed in literature. most recent SaintEtiQ model, initially by Raschia.1 Based on hierarchical conceptual clustering algorithm, builds summary hierarchy from records. In paper, we propose to extend model introducing some optimization processes including: (i) minimization expert risks domain, (iii) building records, (iv) cooperation user giving him summaries different levels.