Algorithm 1 presents
the principle: search for frequent sets in the sample,
but lower the frequency threshold so much that it is
very unlikely that any frequent sets are missed. Then
evaluate the sets and their border, i.e., all sets that
were evaluated in the sample, also in the rest of the
database.