Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles.
David CamposTung KieuChenjuan GuoFeiteng HuangKai ZhengBin YangChristian S. JensenPublished in: Proc. VLDB Endow. (2021)
Keyphrases
- outlier detection
- word sense induction
- change point detection
- fraud detection
- classifier ensemble
- knowledge discovery
- detection algorithm
- decision trees
- data streams
- density ratio estimation
- high dimensional datasets
- data mining
- restricted boltzmann machine
- detecting outliers
- credit card fraud detection
- density estimation
- unsupervised learning
- sequential data
- supervised learning
- distance based outlier detection
- non stationary
- ensemble methods
- semi supervised
- cluster analysis
- detect outliers
- data sets
- data analysis
- information retrieval
- real world