“…Massive collections of data series (or time series) are becoming a reality in virtually every scientific and social domain, and there is an increasingly pressing need for relevant applications to develop techniques that can efficiently analyze them (Palpanas, 2015;Bagnall et al, 2019;Wang and Palpanas, 2021;Jakovljevic et al, 2022). Data series anomaly detection is a crucial problem with applications in a wide range of fields (Palpanas, 2015;Boniol et al, 2022;Paparrizos et al, 2022aPaparrizos et al, , 2022b, that all share the same well-studied goal (Barnet and Lewis, 1994;Subramaniam et al, 2006;Yeh et al, 2016): detecting anomalies as fast as possible to avoid any critical event. Such applications can be found in biology, astronomy, and engineering areas.…”