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    SDM
    2009
    SIAM
    127views Data Mining» more  SDM 2009»
    Event Discovery in Time Series.
    16 years 4 months ago
    Event Discovery in Time Series.
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    The discovery of events in time series can have important implications, such as identifying microlensing events in astronomical surveys, or changes in a patient’s electrocardiog...
    Carla E. Brodley, Dan Preston, Pavlos Protopapas
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    SDM
    2009
    SIAM
    161views Data Mining» more  SDM 2009»
    Polynomial-Delay and Polynomial-Space Algorithms for Mining Closed Sequences, Graphs, and Pictures in Accessible Set Systems.
    16 years 4 months ago
    Polynomial-Delay and Polynomial-Space Algorithms for Mining Closed Sequences, Graphs, and Pictures in Accessible Set Systems.
    Download  www-ikn.ist.hokudai.ac.jp
    In this paper, we study efficient closed pattern mining in a general framework of set systems, which are families of subsets ordered by set-inclusion with a certain structure, pro...
    Hiroki Arimura, Takeaki Uno
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    SDM
    2009
    SIAM
    215views Data Mining» more  SDM 2009»
    Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets.
    16 years 4 months ago
    Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets.
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    To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
    Bart De Moor, Frizo A. L. Janssens, Shi Yu, Wolfga...
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    SDM
    2009
    SIAM
    291views Data Mining» more  SDM 2009»
    Detection and Characterization of Anomalies in Multivariate Time Series.
    16 years 4 months ago
    Detection and Characterization of Anomalies in Multivariate Time Series.
    Download  www.siam.org
    Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
    Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
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    SDM
    2009
    SIAM
    220views Data Mining» more  SDM 2009»
    Bayesian Cluster Ensembles.
    16 years 4 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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