In this paper, we review the past work and discuss the future of integration of data mining and relational database systems. We also discuss support for integration in Microsoft SQL Server 2000.<\/p>\n","protected":false},"excerpt":{"rendered":"
In this paper, we review the past work and discuss the future of integration of data mining and relational database systems. We also discuss support for integration in Microsoft SQL Server 2000.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"Very Large Data Bases Endowment Inc.","msr_publisher_other":"","msr_booktitle":"Proceedings of the 26th International Conference on Very Large Databases","msr_chapter":"","msr_edition":"Proceedings of the 26th International Conference on Very Large Databases","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"All articles published in this journal are protected by copyright, which covers the exclusive rights to reproduce and distribute the article (e.g., as offprints), as well as all translation rights. 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