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    BMCBI
    2006
    95views more  BMCBI 2006»
    A simple method for assessing sample sizes in microarray experiments
    14 years 10 months ago
    A simple method for assessing sample sizes in microarray experiments
    Download  www-stat-class.stanford.edu
    In this short article, we discuss a simple method for assessing sample size requirements in microarray experiments. Our method starts with the output from a permutation-based anal...
    Robert Tibshirani
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    IEICET
    2007
    127views more  IEICET 2007»
    Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining
    14 years 10 months ago
    Integration of Learning Methods, Medical Literature and Expert Inspection in Medical Data Mining
    Download  www.jaist.ac.jp
    abstraction and text mining methods to exploit the collected data. Furthermore, our visual discovery system D2MS allowed to actively and effectively working with physicians. Signi...
    Tu Bao Ho, Saori Kawasaki, Katsuhiko Takabayashi, ...
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    PRL
    2002
    67views more  PRL 2002»
    A pseudo-nearest-neighbor approach for missing data recovery on Gaussian random data sets
    14 years 9 months ago
    A pseudo-nearest-neighbor approach for missing data recovery on Gaussian random data sets
    Download  sci2s.ugr.es
    Missing data handling is an important preparation step for most data discrimination or mining tasks. Inappropriate treatment of missing data may cause large errors or false result...
    Xiaolu Huang, Qiuming Zhu
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    IJCAI
    2003
    137views Artificial Intelligence» more  IJCAI 2003»
    Distributed Clustering Based on Sampling Local Density Estimates
    14 years 11 months ago
    Distributed Clustering Based on Sampling Local Density Estimates
    Download  dli.iiit.ac.in
    Huge amounts of data are stored in autonomous, geographically distributed sources. The discovery of previously unknown, implicit and valuable knowledge is a key aspect of the expl...
    Matthias Klusch, Stefano Lodi, Gianluca Moro
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    ISMIS
    2009
    Springer
    197views Artificial Intelligence» more  ISMIS 2009»
    Fuzzy Clustering for Categorical Spaces
    15 years 4 months ago
    Fuzzy Clustering for Categorical Spaces
    Download  www.di.uniba.it
    Abstract. A multi-relational clustering method is presented which can be applied to complex knowledge bases storing resources expressed in the standard Semantic Web languages. It a...
    Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
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