Incremental learning

In industrial life, data usually become available gradually, this
fact requires data analysis systems to have the capability to learn
information incrementally. Learning from new data without forgetting
prior knowledge is known as incremental learning. Its requirement
become challenge since most fundamental supervised learning
algorithms are lack of the ability to incremental learning, in most
of these cases the involved data analysis systems would rebuild the
new classifiers on the new data set, unfortunately, these procedures
normally lead to the phenomenon known as “catastrophic forgetting”,
the previously learned information lost, the result could be even
worse if the old data are no longer available.