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    TSMC
    2010
    202views Artificial Intelligence» more  TSMC 2010»
    Distance Approximating Dimension Reduction of Riemannian Manifolds
    12 years 12 months ago
    Distance Approximating Dimension Reduction of Riemannian Manifolds
    Download  www.tcs.fudan.edu.cn
    We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...
    Changyou Chen, Junping Zhang, Rudolf Fleischer
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    KDD
    2007
    ACM
    165views Data Mining» more  KDD 2007»
    Finding low-entropy sets and trees from binary data
    14 years 5 months ago
    Finding low-entropy sets and trees from binary data
    Download  eprints.pascal-network.org
    The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
    Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
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    ICPP
    2000
    IEEE
    205views Distributed And Parallel Com...» more  ICPP 2000»
    A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
    13 years 9 months ago
    A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
    Download  cucis.ece.northwestern.edu
    Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
    Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
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    COMAD
    2008
    144views Knowledge Management» more  COMAD 2008»
    Disk-Based Sampling for Outlier Detection in High Dimensional Data
    13 years 6 months ago
    Disk-Based Sampling for Outlier Detection in High Dimensional Data
    Download  www.cse.iitb.ac.in
    We propose an efficient sampling based outlier detection method for large high-dimensional data. Our method consists of two phases. In the first phase, we combine a "sampling...
    Timothy de Vries, Sanjay Chawla, Pei Sun, Gia Vinh...
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    BMCBI
    2006
    101views more  BMCBI 2006»
    SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
    13 years 5 months ago
    SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
    Download  homes.esat.kuleuven.be
    Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
    Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...
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