A support vector machine based technique for online detection of outliers in transient time series.

Hugo Martins Luís Brito Palma Alberto Cardoso Paulo Gil

Published in: ASCC (2015)

Keyphrases

false positives
detection accuracy
automatic detection
detection algorithm
real time
steady state

object detection
online learning
detection rate
missing data
dynamic time warping
online communities

detection method
non stationary
multivariate time series
outlier detection
autoregressive
novelty detection

detecting outliers
stock market
change detection
hidden markov models
learning algorithm
data sets