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» Transforming Time Series into Complex Networks
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WSOM
2009
Springer
14 years 1 months ago
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
Andreas Andreakis, Nicolai von Hoyningen-Huene, Mi...
IJCNN
2006
IEEE
14 years 22 days ago
Local Support Vector Regression for Financial Time Series Prediction
— We consider the regression problem for financial time series. Typically, financial time series are non-stationary and volatile in nature. Because of its good generalization p...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
ECML
1997
Springer
13 years 11 months ago
Parallel and Distributed Search for Structure in Multivariate Time Series
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
Tim Oates, Matthew D. Schmill, Paul R. Cohen
BMCBI
2007
169views more  BMCBI 2007»
13 years 6 months ago
Transcription factor target prediction using multiple short expression time series from Arabidopsis thaliana
Background: The central role of transcription factors (TFs) in higher eukaryotes has led to much interest in deciphering transcriptional regulatory interactions. Even in the best ...
Henning Redestig, Daniel Weicht, Joachim Selbig, M...
ISCC
1999
IEEE
13 years 11 months ago
On Network Survivability Algorithms Based on Trellis Graph Transformations
Due to the wide range of services being supported, telecommunications networks are loaded with massive quantities of information. This stimulates extra concern for network surviva...
Soulla Louca, Andreas Pitsillides, George Samaras