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» Fast algorithms for time series mining
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141
Voted
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
15 years 7 months ago
Online discovery and maintenance of time series motifs
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...
Abdullah Mueen, Eamonn J. Keogh
118
Voted
PAMI
2007
118views more  PAMI 2007»
15 years 3 months ago
Learning to Transform Time Series with a Few Examples
We describe a semi-supervised regression algorithm that learns to transform one time series into another time series given examples of the transformation. This algorithm is applie...
Ali Rahimi, Ben Recht, Trevor Darrell
123
Voted
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 4 months ago
Semi-supervised time series classification
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...
Li Wei, Eamonn J. Keogh
140
Voted
EDBT
2004
ACM
110views Database» more  EDBT 2004»
16 years 3 months ago
Using Convolution to Mine Obscure Periodic Patterns in One Pass
The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
125
Voted
MICCAI
2007
Springer
16 years 4 months ago
Towards an Identification of Tumor Growth Parameters from Time Series of Images
In cancer treatment, understanding the aggressiveness of the tumor is essential in therapy planning and patient follow-up. In this article, we present a novel method for quantifyin...
Ender Konukoglu, Olivier Clatz, Pierre-Yves Bondia...