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» Event Discovery in Time Series.
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IPMI
2005
Springer
14 years 8 months ago
Analysis of Event-Related fMRI Data Using Diffusion Maps
The blood oxygen level-dependent (BOLD) signal in response to brief periods of stimulus can be detected using event-related functional magnetic resonance imaging (ER-fMRI). In this...
François G. Meyer, Xilin Shen
AAAI
2007
13 years 10 months ago
UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series
The discovery of meaningful change points, finding segments, in both categorical and real-value data time series is a well-studied problem. Prior segmentation algorithms and task...
Tom Armstrong, Tim Oates
EUROCAST
2009
Springer
143views Hardware» more  EUROCAST 2009»
14 years 2 months ago
Fitting Rectangular Signals to Time Series Data by Metaheuristic Algorithms
Abstract. In this work we consider the application of metaheuristic algorithms to the problem of fitting rectangular signals to time-data series. The application background is to ...
Andreas M. Chwatal, Günther R. Raidl
IJCNN
2006
IEEE
14 years 1 months ago
Classify Unexpected News Impacts to Stock Price by Incorporating Time Series Analysis into Support Vector Machine
— the paper discusses an approach of using traditional time series analysis, as domain knowledge, to help the data-preparation of support vector machine for classifying documents...
Ting Yu, Tony Jan, John K. Debenham, Simeon J. Sim...
GFKL
2004
Springer
154views Data Mining» more  GFKL 2004»
14 years 28 days 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