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    SDM
    2009
    SIAM
    220views Data Mining» more  SDM 2009»
    Bayesian Cluster Ensembles.
    14 years 8 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
    114views Data Mining» more  SDM 2009»
    Top-k Correlative Graph Mining.
    14 years 8 months ago
    Top-k Correlative Graph Mining.
    Download  www.siam.org
    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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    SDM
    2009
    SIAM
    394views Data Mining» more  SDM 2009»
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    14 years 8 months ago
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    Download  www.cs.iastate.edu
    Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
    Oksana Yakhnenko, Vasant Honavar
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    SDM
    2009
    SIAM
    167views Data Mining» more  SDM 2009»
    Parallel Pairwise Clustering.
    14 years 8 months ago
    Parallel Pairwise Clustering.
    Download  www.siam.org
    Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
    Elad Yom-Tov, Noam Slonim
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    SDM
    2009
    SIAM
    129views Data Mining» more  SDM 2009»
    Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms.
    14 years 8 months ago
    Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms.
    Download  www.csee.umbc.edu
    This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines such as the Larg...
    Kamalika Das, Kanishka Bhaduri, Sugandha Arora, We...
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    SDM
    2009
    SIAM
    167views Data Mining» more  SDM 2009»
    Detecting Communities in Social Networks Using Max-Min Modularity.
    14 years 8 months ago
    Detecting Communities in Social Networks Using Max-Min Modularity.
    Download  www.siam.org
    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
    130views Data Mining» more  SDM 2009»
    Grammar Mining.
    14 years 8 months ago
    Grammar Mining.
    Download  www.cs.kuleuven.be
    We introduce the problem of grammar mining, where patterns are context-free grammars, as a generalization of a large number of common pattern mining tasks, such as tree, sequence ...
    Luc De Raedt, Siegfried Nijssen
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    SDM
    2009
    SIAM
    170views Data Mining» more  SDM 2009»
    Mining Complex Spatio-Temporal Sequence Patterns.
    14 years 8 months ago
    Mining Complex Spatio-Temporal Sequence Patterns.
    Download  www.siam.org
    Mining sequential movement patterns describing group behaviour in potentially streaming spatio-temporal data sets is a challenging problem. Movements are typically noisy and often...
    Florian Verhein
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    SDM
    2009
    SIAM
    108views Data Mining» more  SDM 2009»
    Highlighting Diverse Concepts in Documents.
    14 years 8 months ago
    Highlighting Diverse Concepts in Documents.
    Download  www.almaden.ibm.com
    We show the underpinnings of a method for summarizing documents: it ingests a document and automatically highlights a small set of sentences that are expected to cover the differ...
    Evimaria Terzi, Kun Liu, Tyrone Grandison
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    SDM
    2009
    SIAM
    184views Data Mining» more  SDM 2009»
    DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
    14 years 8 months ago
    DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
    Download  www.siam.org
    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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