MADRID

MADRID: A Hyper-Anytime Algorithm to Find Time Series Anomalies of all Lengths

MADRID appears in: MADRID: A Hyper-Anytime Algorithm to Find Time Series Anomalies of all Lengths. Yue Lu, Thirumalai Vinjamoor Akhil Srinivas, Takaaki Nakamura, Makoto Imamura, and Eamonn Keogh. IEEE ICDM 2023 [PDF] [SLIDES]

Demo 1: 3D Multi-length Discord Table

Demo.mp4

The code and dataset used in Demo1 can be downloaded here

Demo 2: Real-time Anytime Time Series Anomaly Search

Anytime_Video.mp4

The code and dataset used in Demo2 can be downloaded here

Demo 3: (MADRID V2.0) MADRID as a Contract Algorithm

DEMO MADRID as a contract algorithm.mp4

The code and dataset used in Demo3 can be downloaded here

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