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    KDD
    2009
    ACM
    132views Data Mining» more  KDD 2009»
    Learning patterns in the dynamics of biological networks
    14 years 10 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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    PODS
    2009
    ACM
    119views Database» more  PODS 2009»
    Exceeding expectations and clustering uncertain data
    14 years 10 months ago
    Exceeding expectations and clustering uncertain data
    Download  www.cis.upenn.edu
    Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
    Sudipto Guha, Kamesh Munagala
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    MOBISYS
    2009
    ACM
    153views Computer Networks» more  MOBISYS 2009»
    Leveraging smart phones to reduce mobility footprints
    14 years 10 months ago
    Leveraging smart phones to reduce mobility footprints
    Download  www.research.rutgers.edu
    Mobility footprint refers to the size, weight, and energy demand of the hardware that must be carried by a mobile user to be effective at any time and place. The ideal of a zero m...
    Stephen Smaldone, Benjamin Gilbert, Nilton Bila, L...
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    MOBISYS
    2009
    ACM
    182views Computer Networks» more  MOBISYS 2009»
    Predictive methods for improved vehicular WiFi access
    14 years 10 months ago
    Predictive methods for improved vehicular WiFi access
    Download  www.wings.cs.sunysb.edu
    With the proliferation of WiFi technology, many WiFi networks are accessible from vehicles on the road making vehicular WiFi access realistic. However, several challenges exist: l...
    Pralhad Deshpande, Anand Kashyap, Chul Sung, Samir...
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    KDD
    2008
    ACM
    174views Data Mining» more  KDD 2008»
    Effective label acquisition for collective classification
    14 years 10 months ago
    Effective label acquisition for collective classification
    Download  www.cs.umd.edu
    Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
    Mustafa Bilgic, Lise Getoor
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