(1) Input: small sample set , oversampling magnification ;  (2) Output: the new small sample set , sample number ;  (3) For each small class sample , find nearest neighbors of the same kind with ;  (4) Choose samples according to the magnification of oversampling randomly, then do random linear interpolation between  and each neighbor selected; 
