Multivariate time series (MTS) samples which differ significantly from other MTS samples are referred to as outlier samples. In this paper, an algorithm designed to efficiently detect the top n outlier samples in MTS dataset, based on Solving Set, is proposed. An extended Frobenius Norm is used to c
✦ LIBER ✦
Detecting nonlinearity in multivariate time series
✍ Scribed by Milan Paluš
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 937 KB
- Volume
- 213
- Category
- Article
- ISSN
- 0375-9601
No coin nor oath required. For personal study only.
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