Finding unknowns in a large set of samples is too time-consuming

[rwehrens]

A simple workaround is to first identify unknowns in a small subset of, say, 10 samples. This should be relatively quick. These can then be converted into a "real" database and the remaining unknowns can be identified much more quickly. If necessary a second round could be done.