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    » Online summarization of dynamic time series data
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    SDM
    2009
    SIAM
    343views Data Mining» more  SDM 2009»
    Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
    15 years 6 months ago
    Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
    Download  www.siam.org
    Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
    Masashi Sugiyama, Yoshinobu Kawahara
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    IPPS
    2006
    IEEE
    91views Distributed And Parallel Com...» more  IPPS 2006»
    A proactive fault-detection mechanism in large-scale cluster systems
    15 years 3 months ago
    A proactive fault-detection mechanism in large-scale cluster systems
    Download  www.cecs.uci.edu
    To improve the whole dependability of large-scale cluster systems, an online fault detection mechanism is proposed in this paper. This mechanism can detect the fault in time befor...
    Linping Wu, Dan Meng, Wen Gao, Jianfeng Zhan
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    IDA
    2003
    Springer
    119views Information Technology» more  IDA 2003»
    Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
    15 years 2 months ago
    Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
    Download  people.brunel.ac.uk
    Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
    Allan Tucker, Xiaohui Liu
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    SDM
    2007
    SIAM
    171views Data Mining» more  SDM 2007»
    A Better Alternative to Piecewise Linear Time Series Segmentation
    14 years 11 months ago
    A Better Alternative to Piecewise Linear Time Series Segmentation
    Download  siam.org
    Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
    Daniel Lemire
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    ICCV
    2009
    IEEE
    638views Computer Vision» more  ICCV 2009»
    Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
    16 years 2 months ago
    Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
    Download  eecs.ucf.edu
    We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
    Arslan Basharat, Mubarak Shah
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