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» Forecasting high-dimensional data
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PVLDB
2008
138views more  PVLDB 2008»
14 years 9 months ago
A skip-list approach for efficiently processing forecasting queries
Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
Tingjian Ge, Stanley B. Zdonik
EACL
2006
ACL Anthology
14 years 11 months ago
Generating Spatio-Temporal Descriptions in Pollen Forecasts
We describe our initial investigations into generating textual summaries of spatiotemporal data with the help of a prototype Natural Language Generation (NLG) system that produces...
Ross Turner, Somayajulu Sripada, Ehud Reiter, Ian ...
CSB
2005
IEEE
125views Bioinformatics» more  CSB 2005»
15 years 3 months ago
On Optimizing Distance-Based Similarity Search for Biological Databases
Similarity search leveraging distance-based index structures is increasingly being used for both multimedia and biological database applications. We consider distance-based indexi...
Rui Mao, Weijia Xu, Smriti R. Ramakrishnan, Glen N...
BMCBI
2011
14 years 1 months ago
To aggregate or not to aggregate high-dimensional classifiers
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
IJON
2006
83views more  IJON 2006»
14 years 9 months ago
Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting
: We propose a wavelet multiscale decomposition based autoregressive approach for the prediction of one-hour ahead ahead load based on historical electricity load data. This approa...
D. Benaouda, Fionn Murtagh, Jean-Luc Starck, O. Re...