There is no causal connection between what happens (in the second place) to what previously happened (in the first place). The only correlation with each seperate incident is the Observer (me). Many times the subject matter is out-dated and has no viable reason to be mentioned in the present. Once newsworthy in its time, it has been years since it exists in the present. Its mention is so remote as to be impossible. And yet it happens!!! Past<--->Present<--->Future
In data analysis, anomaly detection (also referred to as outlier detection and sometimes as novelty detection) is generally understood to be the identification of rare items, events or observations which deviate significantly from the majority of the data and do not conform to a well defined notion of normal behaviour.[1] Such examples may arouse suspicions of being generated by a different mechanism,[2] or appear inconsistent with the remainder of that set of data.[3]
ChandolaSurvey
was invoked but never defined (see the help page).