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    » Exploiting Temporal Relations in Mining Hepatitis Data
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    KDD
    2008
    ACM
    120views Data Mining» more  KDD 2008»
    Entity categorization over large document collections
    14 years 8 months ago
    Entity categorization over large document collections
    Download  www.ics.uci.edu
    Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
    Arnd Christian König, Rares Vernica, Venkates...
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    JIIS
    2006
    103views more  JIIS 2006»
    Time-focused clustering of trajectories of moving objects
    13 years 7 months ago
    Time-focused clustering of trajectories of moving objects
    Download  www2.cs.uh.edu
    Spatio-temporal, geo-referenced datasets are growing rapidly, and will be more in the near future, due to both technological and social/commercial reasons. From the data mining vie...
    Mirco Nanni, Dino Pedreschi
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    WSDM
    2009
    ACM
    136views Data Mining» more  WSDM 2009»
    Mining common topics from multiple asynchronous text streams
    14 years 2 months ago
    Mining common topics from multiple asynchronous text streams
    Download  wsdm2009.org
    Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
    Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
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    AIRS
    2010
    Springer
    292views Information Technology» more  AIRS 2010»
    Event Recognition from News Webpages through Latent Ingredients Extraction
    13 years 5 months ago
    Event Recognition from News Webpages through Latent Ingredients Extraction
    Download  sewm.pku.edu.cn
    We investigate the novel problem of event recognition from news webpages. "Events" are basic text units containing news elements. We observe that a news article is always...
    Rui Yan, Yu Li, Yan Zhang, Xiaoming Li
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    KDD
    2012
    ACM
    271views Data Mining» more  KDD 2012»
    GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
    11 years 10 months ago
    GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
    Download  www.cs.cmu.edu
    Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
    U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
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