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» Pattern recognition to forecast seismic time series
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MCS
2008
Springer
13 years 7 months ago
Detecting multiple mean breaks at unknown points in official time series
In this paper, we propose a computationally effective approach to detect multiple structural breaks in the mean occurring at unknown dates. We present a non-parametric approach th...
Carmela Cappelli, Richard N. Penny, William S. Rea...
KDD
2003
ACM
118views Data Mining» more  KDD 2003»
14 years 8 months ago
Generating English summaries of time series data using the Gricean maxims
We are developing technology for generating English textual summaries of time-series data, in three domains: weather forecasts, gas-turbine sensor readings, and hospital intensive...
Somayajulu Sripada, Ehud Reiter, Jim Hunter, Jin Y...
CG
2007
Springer
13 years 7 months ago
Best analogs for replacing missing image data
Identifying the historical data that is the best analog with a pattern from which a forecast is sought allows time series data to be extrapolated. That technique of best analogs i...
Ning Chen, Clifford A. Reiter
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
13 years 11 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
IJIT
2004
13 years 9 months ago
Corrosion Time Series Classification using the Continuous Wavelet Transform and MML Density Estimation
Corrosion causes many failures in chemical process installations. These failures generate high costs, therefore an effective corrosion monitoring system obtrudes. This paper focuse...
Gert Van Dijck, M. Wevers, Marc M. Van Hulle