Hi, How do we address time-dependent association rules with R? I have a large transactional database of consumers that bought from a set of n distinct products over the time period, T. I am interested in adding the time component to the association rules generation. (This kind of analysis falls into sequence pattern matching, if I am correct.) Please advice me on how to proceed? Any references or implementations or algorithms? Thank you, Nagu