MarkusThill/MGAB: The Mackey-Glass Anomaly Benchmark
Year: 2020
Type: dataset
Abstract: This repository contains the Mackey-Glass anomaly benchmark (MGAB), which is composed of synthetic Mackey-Glass time series with non-trivial anomalies. Mackey-Glass time series are known to exhibit chaotic behavior under certain conditions. MGAB contains 10 MG time series of length 100000. Into each time series 10 anomalies are inserted with a procedure as described below. In contrast to other synthetic benchmarks, it is very hard for the human eye to distinguish the introduced anomalies from the normal (chaotic) behavior. Furthermore, a Python3 module is included, which allows the user to generate customized Mackey-Glass anomaly benchmarks with different levels of difficulty and different sizes.
Source: Figshare
Authors: Thill, Markus, Konen, Wolfgang, Bäck, Thomas
Institutions: TH Köln - University of Applied Sciences, Leiden University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4393432056