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    JUCS
    2007
    112views more  JUCS 2007»
    Internet Path Behavior Prediction via Data Mining: Conceptual Framework and Case Study
    13 years 7 months ago
    Internet Path Behavior Prediction via Data Mining: Conceptual Framework and Case Study
    Download  www.jucs.org
    : In this paper we propose an application of data mining methods in the prediction of the availability and performance of Internet paths. We deploy a general decision-making method...
    Leszek Borzemski
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    SDM
    2004
    SIAM
    242views Data Mining» more  SDM 2004»
    Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification
    13 years 9 months ago
    Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification
    Download  www.cis.syr.edu
    Multivariate statistical analysis is an important data analysis technique that has found applications in various areas. In this paper, we study some multivariate statistical analy...
    Wenliang Du, Yunghsiang S. Han, Shigang Chen
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    VMV
    2001
    161views Visualization» more  VMV 2001»
    Regularized Quadrature Filters for Local Frequency Estimation: Application to Multimodal Volume Image Registration
    13 years 9 months ago
    Regularized Quadrature Filters for Local Frequency Estimation: Application to Multimodal Volume Image Registration
    Download  wwwvis.informatik.uni-stuttgart.de
    Multimodal image registration is a fundamental problem in medical image analysis. In this paper, we propose a novel algorithm to compute the local frequency representations of the...
    Jundong Liu
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    GI
    1998
    Springer
    151views Theoretical Computer Science» more  GI 1998»
    Self-Organizing Data Mining
    14 years 3 days ago
    Self-Organizing Data Mining
    Download  www.knowledgeminer.net
    "KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
    Frank Lemke, Johann-Adolf Müller
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    KDD
    1995
    ACM
    129views Data Mining» more  KDD 1995»
    Feature Extraction for Massive Data Mining
    13 years 11 months ago
    Feature Extraction for Massive Data Mining
    Download  www.aaai.org
    Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
    V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
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