Databases usually change continually. We would like rules which reflect the content of the database at all times, in order to make the best possible classification. Many existing data mining systems require that all the training examples are given at once. If something is changed at a later time, the whole learning process may have to be conducted again. An important challenge for data mining systems is to avoid this, and instead change its current rules according to updates performed.