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    KDD
    2005
    ACM
    107views Data Mining» more  KDD 2005»
    Predicting the product purchase patterns of corporate customers
    14 years 2 months ago
    Predicting the product purchase patterns of corporate customers
    Download  www.cs.uiuc.edu
    This paper describes TIPPPS (Time Interleaved Product Purchase Prediction System), which analyses billing data of corporate customers in a large telecommunications company in orde...
    Bhavani Raskutti, Alan Herschtal
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    BMCBI
    2006
    88views more  BMCBI 2006»
    A two-sample Bayesian t-test for microarray data
    13 years 8 months ago
    A two-sample Bayesian t-test for microarray data
    Download  www.biomedcentral.com
    Background: Determining whether a gene is differentially expressed in two different samples remains an important statistical problem. Prior work in this area has featured the use ...
    Richard J. Fox, Matthew W. Dimmic
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    KDD
    2012
    ACM
    190views Data Mining» more  KDD 2012»
    The untold story of the clones: content-agnostic factors that impact YouTube video popularity
    11 years 11 months ago
    The untold story of the clones: content-agnostic factors that impact YouTube video popularity
    Download  www.ida.liu.se
    Video dissemination through sites such as YouTube can have widespread impacts on opinions, thoughts, and cultures. Not all videos will reach the same popularity and have the same ...
    Youmna Borghol, Sebastien Ardon, Niklas Carlsson, ...
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    ISBI
    2008
    IEEE
    129views Medical Imaging» more  ISBI 2008»
    Best individual template selection from deformation tensor minimization
    14 years 9 months ago
    Best individual template selection from deformation tensor minimization
    Download  www.loni.ucla.edu
    We study the influence of the choice of template in tensorbased morphometry. Using 3D brain MR images from 10 monozygotic twin pairs, we defined a tensor-based distance in the log...
    Natasha Lepore, Caroline A. Brun, Yi-Yu Chou, Agat...
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    KDD
    2008
    ACM
    137views Data Mining» more  KDD 2008»
    Learning classifiers from only positive and unlabeled data
    14 years 9 months ago
    Learning classifiers from only positive and unlabeled data
    Download  cseweb.ucsd.edu
    The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
    Charles Elkan, Keith Noto
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