Data mining is employed to generate rules that can be used as the basis for decision making. Sequence mining can be stated as the discovery of inter- transaction associations or in data stored in temporal datasets, as a series of events, or episodes, occurring at specific times. While the mining of frequent episodes is important, the manner in which such episodes interact can provide further useful knowledge. Until now these patterns have been based on the endpoints of the intervals, however in many cases the natural point of reference is the midpoint of an interval and it is...