In Machine learning and pattern recognition, building a better predictive model is one of the key problems in presence big or massive data; especially, if that data contains noisy unrepresentative samples. These types samples adversely affect may degrade its performance. To alleviate this problem, sometimes, it becomes necessary to sample after eliminating unnecessary instances by maintaining u...