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    SDM
    2010
    SIAM
    213views Data Mining» more  SDM 2010»
    Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
    13 years 10 months ago
    Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
    Download  uni-koblenz.de
    We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
    Jérôme Kunegis, Stephan Schmidt, Andr...
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    SDM
    2010
    SIAM
    156views Data Mining» more  SDM 2010»
    Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
    13 years 10 months ago
    Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
    Download  cs.ucla.edu
    We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
    Alireza Vahdatpour, Majid Sarrafzadeh
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    SDM
    2010
    SIAM
    129views Data Mining» more  SDM 2010»
    p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics
    13 years 10 months ago
    p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics
    Download  www.cc.gatech.edu
    Jaegul Choo, Chandan K. Reddy, Hanseung Lee, Haesu...
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    SDM
    2010
    SIAM
    156views Data Mining» more  SDM 2010»
    Co-selection of Features and Instances for Unsupervised Rare Category Analysis
    13 years 10 months ago
    Co-selection of Features and Instances for Unsupervised Rare Category Analysis
    Download  www.cs.cmu.edu
    Rare category analysis is of key importance both in theory and in practice. Previous research work focuses on supervised rare category analysis, such as rare category detection an...
    Jingrui He, Jaime G. Carbonell
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    SDM
    2010
    SIAM
    183views Data Mining» more  SDM 2010»
    GraSS: Graph Structure Summarization
    13 years 10 months ago
    GraSS: Graph Structure Summarization
    Download  www.cs.bu.edu
    Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
    Kristen LeFevre, Evimaria Terzi
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    SDM
    2010
    SIAM
    195views Data Mining» more  SDM 2010»
    MACH: Fast Randomized Tensor Decompositions
    13 years 10 months ago
    MACH: Fast Randomized Tensor Decompositions
    Download  www.cs.cmu.edu
    Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
    Charalampos E. Tsourakakis
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    SDM
    2010
    SIAM
    192views Data Mining» more  SDM 2010»
    Fast and Accurate Gene Prediction by Decision Tree Classification
    13 years 10 months ago
    Fast and Accurate Gene Prediction by Decision Tree Classification
    Download  www.sfu.ca
    Gene prediction is one of the most challenging tasks in genome analysis, for which many tools have been developed and are still evolving. In this paper, we present a novel gene pr...
    Rong She, Jeffrey Shih-Chieh Chu, Ke Wang, Nanshen...
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    SDM
    2010
    SIAM
    181views Data Mining» more  SDM 2010»
    A Compression Based Distance Measure for Texture
    13 years 10 months ago
    A Compression Based Distance Measure for Texture
    Download  www.cs.ucr.edu
    The analysis of texture is an important subroutine in application areas as diverse as biology, medicine, robotics, and forensic science. While the last three decades have seen ext...
    Bilson J. L. Campana, Eamonn J. Keogh
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    SDM
    2010
    SIAM
    226views Data Mining» more  SDM 2010»
    Two-View Transductive Support Vector Machines
    13 years 10 months ago
    Two-View Transductive Support Vector Machines
    Download  www.cais.ntu.edu.sg
    Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
    Guangxia Li, Steven C. H. Hoi, Kuiyu Chang
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    SDM
    2010
    SIAM
    115views Data Mining» more  SDM 2010»
    Reconstructing Randomized Social Networks
    13 years 10 months ago
    Reconstructing Randomized Social Networks
    Download  www.cs.bu.edu
    In social networks, nodes correspond to entities and edges to links between them. In most of the cases, nodes are also associated with a set of features. Noise, missing values or ...
    Niko Vuokko, Evimaria Terzi
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