Mining Massive Time Series Data: With Dimensionality Reduction Techniques.
Justin BorgJoseph G. VellaPublished in: ICACDS (2020)
Keyphrases
- dimensionality reduction
- high dimensional
- data analysis
- data points
- periodic patterns
- principal component analysis
- high dimensional data
- massive datasets
- text mining
- pattern mining
- pattern discovery
- low dimensional
- knowledge discovery
- pattern recognition
- data mining
- pattern recognition and machine learning
- structure preserving
- nonlinear dimensionality reduction
- dimensionality reduction methods
- manifold learning
- principal components
- high dimensionality
- frequent patterns
- sequential patterns
- feature extraction
- neural network
- web mining
- data mining algorithms
- data sets
- interesting patterns
- sequential pattern mining
- association rule mining
- multidimensional scaling
- anomaly detection
- multi dimensional
- least squares