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» On the Analysis of Numerical Data Time Series in Temporal Lo...
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SDM
2012
SIAM
355views Data Mining» more  SDM 2012»
11 years 11 months ago
Granger Causality Analysis in Irregular Time Series
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
Mohammad Taha Bahadori, Yan Liu
ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
14 years 2 months ago
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
Jie Yin, Qiang Yang
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 9 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
ISVC
2009
Springer
14 years 1 months ago
Data Vases:  2D and 3D Plots for Visualizing Multiple Time Series
Abstract. One challenge associated with the visualization of time-dependent data is to develop graphical representations that are effective for exploring multiple time-varying qua...
Sidharth Thakur, Theresa-Marie Rhyne
ECCV
2006
Springer
14 years 11 months ago
Learning Nonlinear Manifolds from Time Series
Abstract. There has been growing interest in developing nonlinear dimensionality reduction algorithms for vision applications. Although progress has been made in recent years, conv...
Ruei-Sung Lin, Che-Bin Liu, Ming-Hsuan Yang, Naren...