A Divide-and-Conquer-based Early Classification Approach for Multivariate Time Series with Different Sampling Rate Components in IoT.
Ashish GuptaHari Prabhat GuptaBhaskar BiswasTanima DuttaPublished in: ACM Trans. Internet Things (2020)
Keyphrases
- sampling rate
- multivariate time series
- dimension reduction
- pattern recognition
- machine learning
- support vector machine
- feature space
- support vector machine svm
- temporal data
- support vector
- preprocessing
- video sequences
- supervised learning
- principal component analysis
- data structure
- autoregressive
- feature extraction
- feature selection