Data mining and compression : where to apply it and what are the effects?

In data mining it is important for any transforms made to training \ndata to be replicated on evaluation or deployment data. If they \nis not, the model may perform poorly or be unable to accept the \ninput. Lossy data compression has other considerations, however, \nfor example it may not be known ... View More