Hierarchical Change-Detection Tests

We present hierarchical change-detection tests (HCDTs), as effective online algorithms for detecting changes in datastreams. HCDTs are characterized by a hierarchical architecture composed of a detection layer and a validation layer. The detection layer steadily analyzes the input datastream by mean...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2017-02, Vol.28 (2), p.246-258
Hauptverfasser:	Alippi, Cesare, Boracchi, Giacomo, Roveri, Manuel
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Big data Big data analytics Change detection Change detection algorithms change-detection tests (CDTs) cognition-inspired systems cognitive fault detection Computer architecture Data acquisition Delays False alarms hierarchical architectures Internet Learning systems Monitoring stream data analytics
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