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    SDM
    2009
    SIAM
    220views Data Mining» more  SDM 2009»
    Bayesian Cluster Ensembles.
    16 years 1 months ago
    Bayesian Cluster Ensembles.
    Download  www-users.cs.umn.edu
    Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
    Hongjun Wang, Hanhuai Shan, Arindam Banerjee
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    SDM
    2009
    SIAM
    164views Data Mining» more  SDM 2009»
    Time-Decayed Correlated Aggregates over Data Streams.
    16 years 1 months ago
    Time-Decayed Correlated Aggregates over Data Streams.
    Download  www.siam.org
    Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
    Graham Cormode, Srikanta Tirthapura, Bojian Xu
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    SDM
    2009
    SIAM
    217views Data Mining» more  SDM 2009»
    A Framework for Exploring Categorical Data.
    16 years 1 months ago
    A Framework for Exploring Categorical Data.
    Download  www.siam.org
    In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
    Shyam Boriah, Varun Chandola, Vipin Kumar
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    SDM
    2009
    SIAM
    202views Data Mining» more  SDM 2009»
    Proximity-Based Anomaly Detection Using Sparse Structure Learning.
    16 years 1 months ago
    Proximity-Based Anomaly Detection Using Sparse Structure Learning.
    Download  www.research.ibm.com
    We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
    Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
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    SDM
    2009
    SIAM
    185views Data Mining» more  SDM 2009»
    Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach.
    16 years 1 months ago
    Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach.
    Download  www.cs.sfu.ca
    Co-authorship networks, an important type of social networks, have been studied extensively from various angles such as degree distribution analysis, social community extraction a...
    Bin Zhou 0002, Jian Pei, Yan Jia, Yi Han
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