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Dimensionality reduction for detection of anomalies in the IoT traffic data.
Dominik Olszewski
Marcin Iwanowski
Waldemar Graniszewski
Published in:
Future Gener. Comput. Syst. (2024)
Keyphrases
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traffic data
dimensionality reduction
anomaly detection
network traffic
traffic patterns
traffic flow
travel time
principal component analysis
feature extraction
unsupervised learning
road traffic
databases
road network
data points
high dimensional
traffic conditions
machine learning
data model
feature selection