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    2010
    SIAM
    156views Data Mining» more  SDM 2010»
    Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
    14 years 11 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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    2010
    SIAM
    183views Data Mining» more  SDM 2010»
    GraSS: Graph Structure Summarization
    14 years 11 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
    158views Data Mining» more  SDM 2010»
    On the Use of Combining Rules in Relational Probability Trees
    14 years 11 months ago
    On the Use of Combining Rules in Relational Probability Trees
    Download  lirias.kuleuven.be
    A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
    Daan Fierens
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    SDM
    2010
    SIAM
    200views Data Mining» more  SDM 2010»
    Residual Bayesian Co-clustering for Matrix Approximation
    14 years 11 months ago
    Residual Bayesian Co-clustering for Matrix Approximation
    Download  www-users.cs.umn.edu
    In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
    Hanhuai Shan, Arindam Banerjee
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    2010
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    218views Data Mining» more  SDM 2010»
    Confidence-Based Feature Acquisition to Minimize Training and Test Costs
    14 years 11 months ago
    Confidence-Based Feature Acquisition to Minimize Training and Test Costs
    Download  maple.cs.umbc.edu
    We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...
    Marie desJardins, James MacGlashan, Kiri L. Wagsta...
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