Feature selection for classification of oscillating time series
- 22 June 2011
- journal article
- research article
- Published by Wiley in Expert Systems
- Vol. 29 (5), 456-477
- https://doi.org/10.1111/j.1468-0394.2011.00605.x
Abstract
No abstract availableKeywords
This publication has 54 references indexed in Scilit:
- Feature extraction and selection from acoustic emission signals with an application in grinding wheel condition monitoringEngineering Applications of Artificial Intelligence, 2010
- A time series representation model for accurate and fast similarity detectionPattern Recognition, 2009
- Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time seriesNeurocomputing, 2009
- Mining for similarities in time series data using wavelet-based feature vectors and neural networksEngineering Applications of Artificial Intelligence, 2007
- FS_SFS: A novel feature selection method for support vector machinesPattern Recognition, 2006
- Clustering of time series data—a surveyPattern Recognition, 2005
- Time series clustering with ARMA mixturesPattern Recognition, 2004
- Autoregressive to anything: Time-series input processes for simulationOperations Research Letters, 1996
- Floating search methods in feature selectionPattern Recognition Letters, 1994
- Comparing partitionsJournal of Classification, 1985