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AIME
2007
Springer
14 years 1 months ago
A Human-Machine Cooperative Approach for Time Series Data Interpretation
Abstract. This paper deals with the interpretation of biomedical multivariate time series for extracting typical scenarios. This task is known to be difficult, due to the temporal ...
Thomas Guyet, Catherine Garbay, Michel Dojat
MICAI
2004
Springer
14 years 27 days ago
Extracting Temporal Patterns from Time Series Data Bases for Prediction of Electrical Demand
In this paper we present a technique for prediction of electrical demand based on multiple models. The multiple models are composed by several local models, each one describing a r...
J. Jesus Rico Melgoza, Juan J. Flores, Constantino...
IJACTAICIT
2010
120views more  IJACTAICIT 2010»
13 years 4 months ago
Representing Image Search Performance Using Time Series Models
Image search engines tend to return a large number of images which the engines consider to be relevant, and such pool of results generally is very large and may be regarded to be ...
Xiaoling Wang, Clement. H. C. Leung
IEAAIE
2005
Springer
14 years 1 months ago
Inferring Definite-Clause Grammars to Express Multivariate Time Series
In application domains such as medicine, where a large amount of data is gathered, a medical diagnosis and a better understanding of the underlying generating process is an aim. Re...
Gabriela Guimarães, Luís Moniz Perei...
ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
14 years 1 months ago
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu