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Skip to Main Content AreaHomeAbout SIGKDDExecutive CommitteeMembershipAbout ACMContact UsSIGKDD BlogKDD 2014PublicationsSIGKDD ExplorationsExplorations ArchiveAuthor InstructionsConferencesSIGKDD CurriculumBeyond KDDIndustry BlogsAwardsSIGKDD Innovation AwardSIGKDD Service AwardBest Paper AwardsDoctoral Dissertation AwardKDD CupExecutive CommitteeChairBingLiuSecretary/TreasurerMichaelZellerBoard of DirectorsDeepakAgarwalJohannesGehrkeYingLiJianPeiRaghuRamakrishnanMohammed J.ZakiPast SIGKDD ChairsUsamaFayyadGregoryPiatetskyWonKimInformation DirectorAnkur Teredesai KDD-2014 It is our pleasure to invite you to the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) to be held in New York, USA during August 2014. The theme of KDD-2014 will be around “using big data for the social good” and will be showcased in a special track. KDD is the top research conference in the field by all measures Top Research Conferences in Data Mining, Data Science are KDD, ICDE, IEEE ICDM, CIKM, and SDM http://t.co/W4QUYf7ycl — Gregory Piatetsky (@kdnuggets) November 21, 2013 KDD 2014 Posters Available to Request Conference posters are now available for KDD 2014, which will be taking place in New York City on August 24-27 next year. Poster mailing requests can be made through our online form here. Please be sure to specify your name, organization, address, e-mail, and the number of posters you'd like to order. More information on the conference itself is available on the official KDD 2014 website. SIGKDD Welcomes New Chair, Treasurer and Members to Its Executive Committee The ACM SIGKDD election results were recently concluded. The new SIGKDD leadership team took office on July 1, 2013. The newly elected chair of SIGKDD is Prof. Bing Liu, professor at University of Illinois at Chicago. Prof. Liu is a well respected data mining and machine learning researcher and SIGKDD community is honored to have him serve as chair. “The rise of Big Data is driving a tremendous interest in data mining research as well as real-world applications across industry and government. SIGKDD community has a unique opportunity to lead the direction by providing a global forum to disseminate cutting edge research results and to demonstrate innovative applications” states Prof. Liu. Read More... ACM SIGKDD 2013 Innovation Award to Prof. Jon Kleinberg ACM SIGKDD is pleased to announce that Prof. Jon Kleinberg is the winner of the 2013 Innovation Award. He is recognized for his seminal contributions to the analysis of social and information networks, mining the web graph, study of cascading behaviors in networks, and the development of algorithmic models of human behavior. ACM SIGKDD Innovation Award is the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD). It is conferred on one individual or one group of collaborators whose outstanding technical innovations in the KDD field have had a lasting impact
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