  Because the data being mined in the temporal database will evolve with time,
many researchers have focused on the incremental mining of frequent sequences
in temporal database. In this paper, we propose an algorithm called IUS, using
the frequent and negative border sequences in the original database for
incremental sequence mining. To deal with the case where some data need to be
updated from the original database, we present an algorithm called DUS to
maintain sequential patterns in the updated database. We also define the
negative border sequence threshold: Min_nbd_supp to control the number of
sequences in the negative border.
