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    COMAD
    2009
    175views Knowledge Management» more  COMAD 2009»
    Categorizing Concepts for Detecting Drifts in Stream
    13 years 8 months ago
    Categorizing Concepts for Detecting Drifts in Stream
    Download  www.cse.iitb.ac.in
    Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
    Sharanjit Kaur, Vasudha Bhatnagar, Sameep Mehta, S...
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    WSDM
    2009
    ACM
    187views Data Mining» more  WSDM 2009»
    Speeding up algorithms on compressed web graphs
    14 years 2 months ago
    Speeding up algorithms on compressed web graphs
    Download  wsdm2009.org
    A variety of lossless compression schemes have been proposed to reduce the storage requirements of web graphs. One successful approach is virtual node compression [7], in which of...
    Chinmay Karande, Kumar Chellapilla, Reid Andersen
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    BMCBI
    2011
    198views Artificial Intelligence» more  BMCBI 2011»
    Empirical Bayesian models for analysing molecular serotyping microarrays
    13 years 2 months ago
    Empirical Bayesian models for analysing molecular serotyping microarrays
    Download  www.biomedcentral.com
    Background: Microarrays offer great potential as a platform for molecular diagnostics, testing clinical samples for the presence of numerous biomarkers in highly multiplexed assay...
    Richard Newton, Jason Hinds, Lorenz Wernisch
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    KDD
    2009
    ACM
    167views Data Mining» more  KDD 2009»
    Seven pitfalls to avoid when running controlled experiments on the web
    14 years 8 months ago
    Seven pitfalls to avoid when running controlled experiments on the web
    Download  exp-platform.com
    Controlled experiments, also called randomized experiments and A/B tests, have had a profound influence on multiple fields, including medicine, agriculture, manufacturing, and adv...
    Thomas Crook, Brian Frasca, Ron Kohavi, Roger Long...
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    TC
    2010
    133views Information Technology» more  TC 2010»
    Scalable Node-Level Computation Kernels for Parallel Exact Inference
    13 years 6 months ago
    Scalable Node-Level Computation Kernels for Parallel Exact Inference
    Download  ceng.usc.edu
    —In this paper, we investigate data parallelism in exact inference with respect to arbitrary junction trees. Exact inference is a key problem in exploring probabilistic graphical...
    Yinglong Xia, Viktor K. Prasanna
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