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    KDD
    2009
    ACM
    191views Data Mining» more  KDD 2009»
    Efficient methods for topic model inference on streaming document collections
    14 years 9 months ago
    Efficient methods for topic model inference on streaming document collections
    Download  www.cs.umass.edu
    Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
    Limin Yao, David M. Mimno, Andrew McCallum
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    KDD
    2009
    ACM
    132views Data Mining» more  KDD 2009»
    Learning patterns in the dynamics of biological networks
    14 years 9 months ago
    Learning patterns in the dynamics of biological networks
    Download  www-ai.cs.uni-dortmund.de
    Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
    Chang Hun You, Lawrence B. Holder, Diane J. Cook
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    MOBIHOC
    2009
    ACM
    261views Computer Networks» more  MOBIHOC 2009»
    Aging rules: what does the past tell about the future in mobile ad-hoc networks?
    14 years 9 months ago
    Aging rules: what does the past tell about the future in mobile ad-hoc networks?
    Download  www4.ncsu.edu
    The study in mobile ad-hoc networks (MANET) is facing challenges brought by recent discovery of non-exponential behavior of the inter-contact time distribution of mobile nodes. In...
    Han Cai, Do Young Eun
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    KDD
    2008
    ACM
    153views Data Mining» more  KDD 2008»
    Text classification, business intelligence, and interactivity: automating C-Sat analysis for services industry
    14 years 9 months ago
    Text classification, business intelligence, and interactivity: automating C-Sat analysis for services industry
    Download  www.godbole.net
    Text classification has matured as a research discipline over the last decade. Independently, business intelligence over structured databases has long been a source of insights fo...
    Shantanu Godbole, Shourya Roy
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    KDD
    2008
    ACM
    156views Data Mining» more  KDD 2008»
    Can complex network metrics predict the behavior of NBA teams?
    14 years 9 months ago
    Can complex network metrics predict the behavior of NBA teams?
    Download  www.cs.unc.edu
    The United States National Basketball Association (NBA) is one of the most popular sports league in the world and is well known for moving a millionary betting market that uses th...
    Antonio Alfredo Ferreira Loureiro, Pedro O. S. Vaz...
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