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":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13555],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-156804","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-search-information-retrieval","msr-locale-en_us"],"msr_publishername":"Very Large Data Bases Endowment Inc.","msr_edition":"Proceedings of the 26th International Conference on Very Large Databases","msr_affiliation":"","msr_published_date":"2000-01-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"Proceedings of the 26th International Conference on Very Large Databases","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"211056","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"integration-of-data-mining.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/integration-of-data-mining.pdf","id":211056,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":211056,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/integration-of-data-mining.pdf"}],"msr-author-ordering":[{"type":"text","value":"Amir Netz","user_id":0,"rest_url":false},{"type":"text","value":"Jeff Bernhardt","user_id":0,"rest_url":false},{"type":"text","value":"Usama Fayyad","user_id":0,"rest_url":false},{"type":"user_nicename","value":"surajitc","user_id":33764,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=surajitc"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[957177],"msr_project":[169515],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":169515,"post_title":"Data Mining","post_name":"data-mining","post_type":"msr-project","post_date":"2001-11-02 16:06:25","post_modified":"2017-06-06 10:59:39","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/data-mining\/","post_excerpt":"Goal The Knowledge Discovery and Data Mining (KDD) process consists of data selection, data cleaning, data transformation and reduction, mining, interpretation and evaluation, and finally incorporation of the mined \"knowledge\" with the larger decision making process. 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