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» AIM: Approximate Intelligent Matching for Time Series Data
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DAWAK
2000
Springer
13 years 8 months ago
AIM: Approximate Intelligent Matching for Time Series Data
Edward Kim, Joyce M. W. Lam, Jiawei Han
SIGMOD
2008
ACM
236views Database» more  SIGMOD 2008»
14 years 3 months ago
Approximate embedding-based subsequence matching of time series
A method for approximate subsequence matching is introduced, that significantly improves the efficiency of subsequence matching in large time series data sets under the dynamic ti...
Vassilis Athitsos, Panagiotis Papapetrou, Michalis...
AIME
2007
Springer
13 years 9 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
13 years 9 months 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...
IEAAIE
2005
Springer
13 years 9 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...