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» Online Recognition of Fuzzy Time Series Patterns
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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
2007
ACM
202views Data Mining» more  KDD 2007»
14 years 8 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
EDBT
2004
ACM
110views Database» more  EDBT 2004»
14 years 7 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...
JCIT
2008
124views more  JCIT 2008»
13 years 7 months ago
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das
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