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    ITPRO
    2007
    101views more  ITPRO 2007»
    Beyond Search: Content Applications
    13 years 7 months ago
    Beyond Search: Content Applications
    Download  www.marklogic.com
    Federation of Abstracting and Information Services presentation (“TheThomsonTransformation: Remaking a Global 500 Company,” http://www. nfais.org/TurnerNFAIS06.ppt). Now conten...
    Stephen Buxton
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    WSDM
    2010
    ACM
    261views Data Mining» more  WSDM 2010»
    Learning Similarity Metrics for Event Identification in Social Media
    14 years 4 months ago
    Learning Similarity Metrics for Event Identification in Social Media
    Download  infolab.stanford.edu
    Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
    Hila Becker, Mor Naaman, Luis Gravano
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    SIGIR
    2010
    ACM
    229views Information Technology» more  SIGIR 2010»
    Uncovering social spammers: social honeypots + machine learning
    13 years 11 months ago
    Uncovering social spammers: social honeypots + machine learning
    Download  faculty.cs.tamu.edu
    Web-based social systems enable new community-based opportunities for participants to engage, share, and interact. This community value and related services like search and advert...
    Kyumin Lee, James Caverlee, Steve Webb
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    KDD
    2010
    ACM
    286views Data Mining» more  KDD 2010»
    Nonnegative shared subspace learning and its application to social media retrieval
    13 years 6 months ago
    Nonnegative shared subspace learning and its application to social media retrieval
    Download  www.computing.edu.au
    Although tagging has become increasingly popular in online image and video sharing systems, tags are known to be noisy, ambiguous, incomplete and subjective. These factors can ser...
    Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Tru...
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    AAAI
    2008
    132views Intelligent Agents» more  AAAI 2008»
    Markov Blanket Feature Selection for Support Vector Machines
    13 years 9 months ago
    Markov Blanket Feature Selection for Support Vector Machines
    Download  www.aaai.org
    Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
    Jianqiang Shen, Lida Li, Weng-Keen Wong
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