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    SDM
    2010
    SIAM
    165views Data Mining» more  SDM 2010»
    Exact Passive-Aggressive Algorithm for Multiclass Classification Using Support Class
    13 years 9 months ago
    Exact Passive-Aggressive Algorithm for Multiclass Classification Using Support Class
    Download  www.r.dl.itc.u-tokyo.ac.jp
    The Passive Aggressive framework [1] is a principled approach to online linear classification that advocates minimal weight updates i.e., the least required so that the current tr...
    Shin Matsushima, Nobuyuki Shimizu, Kazuhiro Yoshid...
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    SDM
    2010
    SIAM
    283views Data Mining» more  SDM 2010»
    Cascading Spatio-temporal Pattern Discovery: A Summary of Results
    13 years 9 months ago
    Cascading Spatio-temporal Pattern Discovery: A Summary of Results
    Download  www.spatial.cs.umn.edu
    Given a collection of Boolean spatio-temporal(ST) event types, the cascading spatio-temporal pattern (CSTP) discovery process finds partially ordered subsets of event-types whose ...
    Pradeep Mohan, Shashi Shekhar, James A. Shine, Jam...
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    SDM
    2010
    SIAM
    158views Data Mining» more  SDM 2010»
    On the Use of Combining Rules in Relational Probability Trees
    13 years 9 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
    115views Data Mining» more  SDM 2010»
    Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations
    13 years 9 months ago
    Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations
    Download  www.cs.cmu.edu
    Given large, multi-million node graphs (e.g., FaceBook, web-crawls, etc.), how do they evolve over time? How are they connected? What are the central nodes and the outliers of the...
    U. Kang, Charalampos E. Tsourakakis, Ana Paula App...
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    SDM
    2010
    SIAM
    256views Data Mining» more  SDM 2010»
    The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
    13 years 9 months ago
    The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
    Download  www.datamininglab.com
    We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
    B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
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    SDM
    2010
    SIAM
    128views Data Mining» more  SDM 2010»
    Publishing Skewed Sensitive Microdata
    13 years 9 months ago
    Publishing Skewed Sensitive Microdata
    Download  www.cs.sfu.ca
    A highly skewed microdata contains some sensitive attribute values that occur far more frequently than others. Such data violates the "eligibility condition" assumed by ...
    Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Raymond Chi-Win...
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    SDM
    2010
    SIAM
    182views Data Mining» more  SDM 2010»
    HCDF: A Hybrid Community Discovery Framework
    13 years 9 months ago
    HCDF: A Hybrid Community Discovery Framework
    Download  eliassi.org
    We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...
    Keith Henderson, Tina Eliassi-Rad, Spiros Papadimi...
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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 9 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 9 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 9 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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