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    SDM
    2007
    SIAM
    118views Data Mining» more  SDM 2007»
    On Privacy-Preservation of Text and Sparse Binary Data with Sketches
    13 years 9 months ago
    On Privacy-Preservation of Text and Sparse Binary Data with Sketches
    Download  siam.org
    In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
    Charu C. Aggarwal, Philip S. Yu
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    ICML
    2004
    IEEE
    187views Machine Learning» more  ICML 2004»
    Automated hierarchical mixtures of probabilistic principal component analyzers
    14 years 8 months ago
    Automated hierarchical mixtures of probabilistic principal component analyzers
    Download  www.ece.neu.edu
    Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
    Ting Su, Jennifer G. Dy
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    ML
    2006
    ACM
    89views Machine Learning» more  ML 2006»
    A Unified View on Clustering Binary Data
    13 years 7 months ago
    A Unified View on Clustering Binary Data
    Download  users.cis.fiu.edu
    Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
    Tao Li
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    SDM
    2009
    SIAM
    225views Data Mining» more  SDM 2009»
    Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
    14 years 4 months ago
    Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
    Download  siam.org
    Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
    Fei Wang, Chris H. Q. Ding, Tao Li
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    SDM
    2008
    SIAM
    256views Data Mining» more  SDM 2008»
    Graph Mining with Variational Dirichlet Process Mixture Models
    13 years 9 months ago
    Graph Mining with Variational Dirichlet Process Mixture Models
    Download  sato-www.cs.titech.ac.jp
    Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
    Koji Tsuda, Kenichi Kurihara
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