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APIN
2008
305views more  APIN 2008»
13 years 7 months ago
A generalized model for financial time series representation and prediction
Abstract Traditional financial analysis systems utilize lowlevel price data as their analytical basis. For example, a decision-making system for stock predictions regards raw price...
Depei Bao
ICCV
2009
IEEE
15 years 15 days 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
JMLR
2011
175views more  JMLR 2011»
13 years 2 months ago
Causal Time Series Analysis of Functional Magnetic Resonance Imaging Data
This review focuses on dynamic causal analysis of functional magnetic resonance (fMRI) data to infer brain connectivity from a time series analysis and dynamical systems perspecti...
Alard Roebroeck, Anil K. Seth, Pedro A. Valdes-Sos...
DBPL
1993
Springer
95views Database» more  DBPL 1993»
13 years 11 months ago
A Moose and a Fox Can Aid Scientists with Data Management Problems
Fox Finding Objects of eXperiments is the declarative query language for Moose Modeling Objects Of Scienti c Experiments, an object-oriented data model at the core of a scient...
Janet L. Wiener, Yannis E. Ioannidis
IDEAS
2010
IEEE
141views Database» more  IDEAS 2010»
13 years 5 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...