{"id":857103,"date":"2022-07-01T08:02:30","date_gmt":"2022-07-01T15:02:30","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=857103"},"modified":"2022-08-12T08:13:51","modified_gmt":"2022-08-12T15:13:51","slug":"kdd-2022","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/kdd-2022\/","title":{"rendered":"KDD 2022"},"content":{"rendered":"\n\n\n\n\n
Microsoft is proud to be a sponsor of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (opens in new tab)<\/span><\/a>. The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences.<\/p>\n\n\n\n Daxin Jiang<\/a><\/p>\n\n\n\n Xiubo Geng<\/a>, Tao Shen<\/a><\/p>\n\n\n\n Johannes Gehrke<\/a><\/p>\n\n\n\n Wee Hyong Tok<\/p>\n\n\n\n Bruce Zhang<\/p>\n\n\n","protected":false},"excerpt":{"rendered":" Microsoft is proud to be a sponsor of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (opens in new tab). The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. Daxin Jiang Xiubo […]<\/p>\n","protected":false},"featured_media":857127,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2022-08-14","msr_enddate":"2022-08-18","msr_location":"Washington, DC","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"Eastern Daylight Time (UTC -4)","msr_hide_region":false,"msr_private_event":false,"footnotes":""},"research-area":[13563],"msr-region":[197900],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[264846],"class_list":["post-857103","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-data-platform-analytics","msr-region-north-america","msr-event-type-conferences","msr-locale-en_us"],"msr_about":"\n\n\n\n\n Microsoft is proud to be a sponsor of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining<\/a>. The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences.<\/p>\n\n\n\n Daxin Jiang<\/a><\/p>\n\n\n\n Xiubo Geng<\/a>, Tao Shen<\/a><\/p>\n\n\n\nApplied Data Science Track Committee<\/h4>\n\n\n\n
Applied Data Science Track Workflow Chairs<\/h4>\n\n\n\n
Equity, Diversity and Inclusion (EDI) Track PC Chair<\/h4>\n\n\n\n
Tutorial Chair<\/h4>\n\n\n\n
ADS Invited Speaker<\/h4>\n\n\n\n
Applied Data Science Track Committee<\/h4>\n\n\n\n
Applied Data Science Track Workflow Chairs<\/h4>\n\n\n\n
Equity, Diversity and Inclusion (EDI) Track PC Chair<\/h4>\n\n\n\n