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    • 域名年龄:30年1天  注册日期:1995年08月22日  到期时间:
      邮箱:greenberg  电话:+1.2128697440
      注册商:Network Solutions, LLC (R63-LROR) 
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    kdd.org

    域名年龄: 30年1天
    注册时间: 1995-08-22
    注 册 商: Network Solutions, LLC (R63-LROR)
    注册邮箱: greenberg
    联系电话: +1.2128697440

    获取时间: 2015年08月09日 12:00:25
    Domain Name:KDD.ORG
    Domain ID: D4412-LROR
    Creation Date: 1995-08-22T04:00:00Z
    Updated Date: 2015-03-23T16:32:31Z
    Registry Expiry Date: 2020-08-21T04:00:00Z
    Sponsoring Registrar:Network Solutions, LLC (R63-LROR)
    Sponsoring Registrar IANA ID: 2
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    Domain Status: clientDeleteProhibited -- http://www.icann.org/epp#clientDeleteProhibited
    Domain Status: clientTransferProhibited -- http://www.icann.org/epp#clientTransferProhibited
    Registrant ID:22350680-NSI
    Registrant Name:Association for Computing Machinery
    Registrant Organization:Association for Computing Machinery
    Registrant Street: 2 Penn Plaza
    Registrant Street: Suite 701
    Registrant City:New York
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    Registrant Postal Code:10121-0701
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    Registrant Email:greenberg
    Admin ID:22350680-NSI
    Admin Name:Association for Computing Machinery
    Admin Organization:Association for Computing Machinery
    Admin Street: 2 Penn Plaza
    Admin Street: Suite 701
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    Tech Email:greenberg
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  • Sig KDD | bringing toget
  • Sig KDD | bringing toget
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    • kdd.cn
    • 已注册 2010年05月15日
    网站首页快照(纯文字版)
    抓取时间:2014年01月30日 05:33:32
    网址:http://kdd.org/
    标题:Sig KDD | bringing together the data mining, data science an
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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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