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» Cost-Sensitive Analysis in Multiple Time Series Prediction
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ICDE
2005
IEEE
185views Database» more  ICDE 2005»
14 years 8 months ago
A Multiresolution Symbolic Representation of Time Series
Efficiently and accurately searching for similarities among time series and discovering interesting patterns is an important and non-trivial problem. In this paper, we introduce a...
Vasileios Megalooikonomou, Qiang Wang, Guo Li, Chr...
JMLR
2008
144views more  JMLR 2008»
13 years 7 months ago
Search for Additive Nonlinear Time Series Causal Models
Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
Tianjiao Chu, Clark Glymour
IDEAL
2010
Springer
13 years 6 months ago
Analysing Satellite Image Time Series by Means of Pattern Mining
Abstract. Change detection in satellite image time series is an important domain with various applications in land study. Most previous works proposed to perform this detection by ...
François Petitjean, Pierre Gançarski...
JMLR
2010
194views more  JMLR 2010»
13 years 2 months ago
Graphical Gaussian modelling of multivariate time series with latent variables
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
Michael Eichler
VISSYM
2007
13 years 10 months ago
Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data
Time series are a data type of utmost importance in many domains such as business management and service monitoring. We address the problem of visualizing large time-related data ...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...