In addition to the reasons why standard attribute-value classifiers are not easy to use for temporal classification, there are also special properties and heuristics that apply in temporal classification domains that do not occur elsewhere. The first thing that one observes when one is looking at datasets of this type is that there appear to be particular ``shapes'' that occur on given channels that are distinctive. For convenience, we will term a particular shape of some subsequence of a channel as an event.