General purpose database summarization Export

@inproceedings{Saint-Paul2005, abstract = {In this paper, a message-oriented architecture for large database summarization is presented. The summarization system takes a database table as input and produces a reduced version of this table through both a rewriting and a generalization process. The resulting table provides tuples with less precision than the original but yet are very informative of the actual content of the database. This reduced form can be used as input for advanced data mining processes as well as some specific application presented in other works. We describe the incremental maintenance of the summarized table, the system capability to directly deal with XML database systems, and finally scalability which allows it to handle very large datasets of a million record.}, author = {Paul, R\'egis S. and Raschia, Guillaume and Mouaddib, Noureddine}, booktitle = {VLDB '05: Proceedings of the 31st international conference on Very large data bases}, citeulike-article-id = {3987813}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1083678}, isbn = {1-59593-154-6}, keywords = {db, entityguides, phd, summary}, location = {Trondheim, Norway}, pages = {733--744}, posted-at = {2009-01-31 09:29:08}, priority = {0}, publisher = {VLDB Endowment}, title = {General purpose database summarization}, url = {http://portal.acm.org/citation.cfm?id=1083678}, year = {2005} }

TY - CONF ID - Saint-Paul2005 L3 - citeulike-article-id:3987813 N2 - In this paper, a message-oriented architecture for large database summarization is presented. The summarization system takes a database table as input and produces a reduced version of this table through both a rewriting and a generalization process. The resulting table provides tuples with less precision than the original but yet are very informative of the actual content of the database. This reduced form can be used as input for advanced data mining processes as well as some specific application presented in other works. We describe the incremental maintenance of the summarized table, the system capability to directly deal with XML database systems, and finally scalability which allows it to handle very large datasets of a million record. CY - Trondheim, Norway SN - 1-59593-154-6 EP - 744 TI - General purpose database summarization PB - VLDB Endowment T2 - VLDB '05: Proceedings of the 31st international conference on Very large data bases SP - 733 KW - db KW - entityguides KW - phd KW - summary AU - Paul, R\'egis AU - Raschia, Guillaume AU - Mouaddib, Noureddine PY - 2005/// UR - http://portal.acm.org/citation.cfm?id=1083678 ER -