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IDEAS
2010
IEEE
141views Database» more  IDEAS 2010»
13 years 3 months ago
Modeling synchronized time series
Abstract. We consider the class of applications that manage time series (TS) and propose a data model and a query language that let these applications manipulate TS data sets at a ...
Zoé Faget, Philippe Rigaux, David Gross-Amb...
ICCV
2009
IEEE
14 years 11 months ago
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
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
GFKL
2004
Springer
154views Data Mining» more  GFKL 2004»
13 years 11 months ago
Discovering Temporal Knowledge in Multivariate Time Series
Abstract. An overview of the Time Series Knowledge Mining framework to discover knowledge in multivariate time series is given. A hierarchy of temporal patterns, which are not a pr...
Fabian Mörchen, Alfred Ultsch
AUSAI
2006
Springer
13 years 9 months ago
Polynomial Pipelined Neural Network and Its Application to Financial Time Series Prediction
A novel type of higher order pipelined neural network, the polynomial pipelined neural network, is presented. The network is constructed from a number of higher order neural networ...
Abir Jaafar Hussain, Adam Knowles, Paulo J. G. Lis...
ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
13 years 11 months ago
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
Eamonn J. Keogh, Jessica Lin, Wagner Truppel