1. A method, comprising: assembling indicators indicating behaviour of observable elements in a system and arranging the assembled indicators such that each indicator corresponding to each observable element is assigned to the same input data component, wherein at least one of the observable elements has a periodic time-dependent behaviour; programming a computerized learning mechanism of an anomaly detecting mechanism in the system such that input data of the learning mechanism comprises input data components which are based on the assembled indicators, and wherein the learning mechanism comprises an input space to define the input data comprising the input data components; placing points which approximate the input data in the input space; and incorporating a presentation of time into at least one input data component, wherein the presentation of time is periodic, continuous and unambiguous within a period of the at least one element with periodic time-dependent behaviour, and wherein the programmed computerized learning mechanism is configured to detect an anomaly in the system.