Similarity-Based Outlier Detection in Multiple Time Series

Grzegorz Gołaszewski

doi:10.1007/978-3-030-18058-4_10

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Similarity-Based Outlier Detection in Multiple Time Series

Grzegorz Gołaszewski

Year: 2019 Advances in intelligent systems and computing Pages: 116-131 Publisher: Springer Nature

DOI: 10.1007/978-3-030-18058-4_10

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Keywords:

Outlier Dynamic time warping Computer science Data mining Time series Series (stratigraphy) Similarity (geometry) Anomaly detection Similarity measure Data set Measure (data warehouse) Pattern recognition (psychology) Multivariate statistics Set (abstract data type) Artificial intelligence Algorithm Machine learning Image (mathematics)

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Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Similarity-Based Outlier Detection in Multiple Time Series

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