Local-to-Global Unsupervised Anomaly Detection from Temporal Data

Seif-Eddine Benkabou; Khalid Benabdeslem; Bruno Canitia

doi:10.1007/978-3-319-57454-7_59

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Local-to-Global Unsupervised Anomaly Detection from Temporal Data

Seif-Eddine Benkabou Khalid Benabdeslem Bruno Canitia

Year: 2017 Lecture notes in computer science Pages: 762-772 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-57454-7_59

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Keywords:

Anomaly detection Computer science Cluster analysis Benchmark (surveying) Weighting Data mining Artificial intelligence Task (project management) Pattern recognition (psychology) Anomaly (physics) Series (stratigraphy)

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Local-to-Global Unsupervised Anomaly Detection from Temporal Data

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