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 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
