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    SDM
    2010
    SIAM
    204views Data Mining» more  SDM 2010»
    Scalable Tensor Factorizations with Missing Data
    13 years 9 months ago
    Scalable Tensor Factorizations with Missing Data
    Download  csmr.ca.sandia.gov
    The problem of missing data is ubiquitous in domains such as biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer...
    Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Mo...
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    SDM
    2008
    SIAM
    138views Data Mining» more  SDM 2008»
    Learning Markov Network Structure using Few Independence Tests
    13 years 9 months ago
    Learning Markov Network Structure using Few Independence Tests
    Download  www.cs.cmu.edu
    In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
    Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
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    SDM
    2004
    SIAM
    187views Data Mining» more  SDM 2004»
    Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
    13 years 9 months ago
    Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
    Download  www.cs.utexas.edu
    Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
    Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
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    DKE
    2008
    109views more  DKE 2008»
    Deterministic algorithms for sampling count data
    13 years 8 months ago
    Deterministic algorithms for sampling count data
    Download  homes.ieu.edu.tr
    Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
    Hüseyin Akcan, Alex Astashyn, Hervé Br...
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    JCST
    2008
    121views more  JCST 2008»
    Clustering Text Data Streams
    13 years 8 months ago
    Clustering Text Data Streams
    Download  www.cse.cuhk.edu.hk
    Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
    Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu
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