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    SDM
    2009
    SIAM
    125views Data Mining» more  SDM 2009»
    Identifying Unsafe Routes for Network-Based Trajectory Privacy.
    16 years 3 months ago
    Identifying Unsafe Routes for Network-Based Trajectory Privacy.
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    In this paper, we propose a privacy model that offers trajectory privacy to the requesters of Location-Based Services (LBSs), by utilizing an underlying network of user movement. ...
    Aris Gkoulalas-Divanis, Mohamed F. Mokbel, Vassili...
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    SDM
    2009
    SIAM
    162views Data Mining» more  SDM 2009»
    Diversity-Based Weighting Schemes for Clustering Ensembles.
    16 years 3 months ago
    Diversity-Based Weighting Schemes for Clustering Ensembles.
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    Clustering ensembles has been recently recognized as an emerging approach to provide more robust solutions to the data clustering problem. Current methods of clustering ensembles ...
    Andrea Tagarelli, Francesco Gullo, Sergio Greco
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    SDM
    2009
    SIAM
    184views Data Mining» more  SDM 2009»
    DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
    16 years 3 months ago
    DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
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    Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
    Emmanuel Müller, Ira Assent, Ralph Krieger, S...
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    SDM
    2009
    SIAM
    167views Data Mining» more  SDM 2009»
    Detecting Communities in Social Networks Using Max-Min Modularity.
    16 years 3 months ago
    Detecting Communities in Social Networks Using Max-Min Modularity.
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    Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
    Jiyang Chen, Osmar R. Zaïane, Randy Goebel
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    SDM
    2009
    SIAM
    114views Data Mining» more  SDM 2009»
    Top-k Correlative Graph Mining.
    16 years 3 months ago
    Top-k Correlative Graph Mining.
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    Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
    Yiping Ke, James Cheng, Jeffrey Xu Yu
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