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Unsupervised and scalable subsequence anomaly detection in large data series.
Paul Boniol
Michele Linardi
Federico Roncallo
Themis Palpanas
Mohammed Meftah
Emmanuel Remy
Published in:
VLDB J. (2021)
Keyphrases
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anomaly detection
data sets
data analysis
data sources
data processing
machine learning
decision trees
data mining techniques
unsupervised learning
data mining applications
network intrusion detection
detecting anomalies
training data
intrusion detection
detect anomalies